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[
"MedMNIST/BreastMNIST/train/images/00000.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The image provided is an ultrasound scan of breast tissue. To classify this image, I analyzed the echotexture, presence of any masses or lesions, and their characteristics such as shape, margins, and internal echoes. In this image, there is no evidence of irregular or spiculated masses, which are often associated with malignancy. The tissue appears homogeneous without hypoechoic or hyperechoic regions that might suggest abnormal growths. Additionally, there are no signs of architectural distortion or calcifications that could indicate malignancy. Based on these observations, the image is consistent with normal or benign findings.</think> <answer>normal, benign</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00001.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The image provided is an ultrasound scan of breast tissue. To classify this image, I analyzed the characteristics of the lesion visible in the scan. The lesion appears to have smooth, well-defined borders and a homogenous internal structure, which are typical features of benign lesions such as fibroadenomas or cysts. There is no evidence of irregular margins, spiculations, or posterior acoustic shadowing, which are often associated with malignant tumors. Based on these observations, the lesion is most likely benign.</think> <answer>normal, benign</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00005.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The ultrasound image shows a well-defined hypoechoic lesion with smooth margins located in the breast tissue. The lesion appears to have a homogeneous internal structure without irregular borders or microcalcifications, which are often associated with malignancy. Based on clinical knowledge, such characteristics are more consistent with a benign lesion rather than a malignant one. Additionally, there is no evidence of posterior acoustic shadowing or enhancement, further supporting a benign diagnosis.</think> <answer>normal, benign</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00007.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>To classify this ultrasound image, I analyzed the structural characteristics of the breast tissue visible in the scan. The image shows a well-defined, hypoechoic mass with smooth margins and homogeneous internal echotexture. These features are typically associated with benign lesions such as fibroadenomas or cysts. Malignant masses often exhibit irregular borders, heterogeneous echotexture, and posterior acoustic shadowing, none of which are present here. Based on these observations, the lesion appears consistent with a benign finding.</think> <answer>normal, benign</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00008.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The ultrasound image provided shows a hypoechoic lesion with irregular margins and heterogeneous internal echotexture. These features are concerning for malignancy based on established imaging criteria. The lesion's irregular shape and lack of clear boundaries suggest an invasive growth pattern, which is characteristic of malignant tumors. Additionally, the presence of posterior acoustic shadowing further supports the suspicion of malignancy. Comparatively, benign lesions typically exhibit well-defined borders and homogeneous echogenicity. Based on these observations, the most likely diagnosis is malignant.</think> <answer>malignant</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00010.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The image provided is an ultrasound scan of breast tissue. To classify this image, I analyzed the echotexture, shape, margins, and internal characteristics of any visible lesions. The absence of irregular or spiculated margins, hypoechoic areas, or posterior acoustic shadowing suggests that there are no features typically associated with malignancy. Instead, the uniformity and lack of concerning findings indicate a benign or normal appearance. Based on these observations, the most likely classification for this image is 'normal, benign.'</think> <answer>normal, benign</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00012.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The image provided is an ultrasound scan of breast tissue. To classify this image, I analyzed the visual characteristics such as shape, margins, echogenicity, and presence of any calcifications or architectural distortions. The lesion appears to have irregular, spiculated margins and heterogeneous echotexture, which are concerning features often associated with malignancy. Additionally, there is no evidence of posterior acoustic enhancement, which further supports the suspicion of malignancy. Based on these observations, the most likely classification for this image is malignant.</think> <answer>malignant</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00014.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The provided ultrasound image shows a hypoechoic lesion with irregular margins and posterior acoustic shadowing. These features are concerning for malignancy. The lesion's irregular shape and lack of clear boundaries suggest an invasive nature, which is characteristic of malignant tumors. Additionally, the presence of posterior acoustic shadowing further supports the suspicion of malignancy, as this feature is commonly associated with solid masses that obstruct sound waves. Based on these observations, the most likely diagnosis is malignant.</think> <answer>malignant</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00018.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The image provided is an ultrasound scan of breast tissue. To classify this image, I analyzed the visual characteristics such as tissue echogenicity, presence of masses, margins, and any architectural distortions. The image shows heterogeneous echotexture without clear evidence of a distinct mass or irregular borders that would suggest malignancy. There are no visible calcifications or significant architectural distortions. Based on these observations, the findings are consistent with normal or benign breast tissue.</think> <answer>normal, benign</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00022.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The provided image appears to be an ultrasound scan of breast tissue. The key features to evaluate include the shape, margins, echogenicity, and internal characteristics of any visible mass. In this image, there is a hypoechoic area with irregular borders and heterogeneous internal echoes, which are concerning for malignancy. These findings align with typical sonographic characteristics of malignant lesions, such as invasive ductal carcinoma. No evidence of benign features like well-defined, smooth margins or homogeneous echotexture is observed. Based on these observations, the most likely classification is malignant.</think> <answer>malignant</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00025.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The image provided is an ultrasound scan of breast tissue. To classify this image as either normal/benign or malignant, I analyzed the structural characteristics visible in the image. Key features to assess include the presence of irregular masses, hypoechoic regions, microcalcifications, and architectural distortion. In this image, there appears to be no significant evidence of irregular masses or hypoechoic areas that would suggest malignancy. The tissue structure seems homogeneous without notable abnormalities. Based on these observations, the image is more consistent with normal or benign findings.</think> <answer>normal, benign</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00027.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The image provided is an ultrasound scan of breast tissue. To classify this image, I analyzed the visual characteristics such as shape, margins, echogenicity, and internal structure. The lesion appears irregular in shape with spiculated or ill-defined margins, which are concerning features often associated with malignancy. Additionally, the heterogeneous internal echo pattern further supports the suspicion of malignancy. Based on these observations, the lesion is more likely to be malignant rather than normal or benign.</think> <answer>malignant</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00028.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The ultrasound image provided shows a well-defined hypoechoic lesion with smooth margins. The lesion appears to be homogeneous without any irregularities or microcalcifications. These characteristics are typically associated with benign thyroid nodules. Malignant lesions often present with irregular borders, heterogeneous echotexture, and microcalcifications, none of which are observed here. Based on these observations, the lesion is most likely benign.</think> <answer>normal, benign</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00029.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The image provided is an ultrasound scan of breast tissue. To classify this image, I analyzed the characteristics of the lesion visible in the scan. The lesion appears to have well-defined borders and a homogeneous internal structure, which are typical features of benign lesions such as fibroadenomas or cysts. There is no evidence of irregular margins, posterior acoustic shadowing, or architectural distortion, which are often associated with malignant tumors. Based on these observations, the lesion is most likely benign.</think> <answer>normal, benign</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00030.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The image provided is an ultrasound scan of breast tissue. The analysis begins by examining the overall structure and characteristics of the lesion visible in the image. Key features to assess include shape, margins, echogenicity, and presence of posterior acoustic effects such as shadowing or enhancement. In this case, the lesion appears irregular in shape with poorly defined margins, which are concerning features often associated with malignancy. Additionally, the internal echotexture is heterogeneous, another hallmark suggestive of a malignant process. These findings align with typical sonographic criteria for malignancy, including irregular borders, hypoechoic appearance, and lack of posterior acoustic enhancement. Based on these observations, the most likely classification for this lesion is malignant.</think> <answer>malignant</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00031.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The image provided is an ultrasound scan of breast tissue. To classify this image, I analyzed the visual characteristics such as shape, margins, echogenicity, and internal structure. The lesion appears irregular in shape with poorly defined margins, which are concerning features for malignancy. Additionally, the heterogeneous internal echo pattern suggests the presence of solid components, further raising suspicion for malignancy. Based on these observations, the lesion is more consistent with malignant characteristics rather than normal or benign findings.</think> <answer>malignant</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00032.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The provided image appears to be a mammogram, which is commonly used for breast cancer screening. The image shows an area of increased density with irregular borders, suggesting a potential abnormality. Using clinical knowledge, such features can indicate malignancy due to their irregular shape and density patterns. Additionally, the presence of spiculated margins or architectural distortion further supports the suspicion of malignancy. After analyzing these characteristics, the most likely classification for this image is malignant.</think> <answer>malignant</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00033.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The image provided is an ultrasound scan of breast tissue. To classify this image, I analyzed the echotexture, presence of any masses or lesions, and their characteristics such as shape, margins, and internal echoes. In this image, there appears to be no distinct mass or lesion with irregular borders or heterogeneous internal echoes, which are typical indicators of malignancy. The overall echotexture seems homogeneous without significant abnormalities. Based on these observations, the findings are consistent with normal or benign breast tissue.</think> <answer>normal, benign</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00036.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The image provided is an ultrasound scan of the left breast. The lesion visible in the image appears to be well-defined and hypoechoic, which are characteristics often associated with benign lesions such as fibroadenomas or cysts. There is no evidence of irregular borders, posterior acoustic shadowing, or architectural distortion, which are features typically seen in malignant lesions. Based on these observations, the lesion is more likely to be benign.</think> <answer>normal, benign</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00042.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The image provided is an ultrasound of the right axilla region. The evaluation involves assessing the characteristics of lymph nodes or other structures visible in the image. Key features to consider include size, shape, echogenicity, and presence of calcifications or irregular borders. In this case, the image shows a well-defined structure with homogeneous echotexture and no evidence of irregularities such as spiculated margins or microcalcifications, which are often associated with malignancy. These findings suggest that the structure is likely benign or normal.</think> <answer>normal, benign</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00045.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The image provided is an ultrasound scan of breast tissue. The lesion appears as a hypoechoic (dark) area with irregular borders and heterogeneous internal echoes, which are concerning features for malignancy. In clinical practice, such characteristics are often associated with malignant tumors due to their invasive nature and irregular growth patterns. Additionally, the lack of posterior acoustic enhancement or shadowing further supports the suspicion of malignancy. Based on these observations, the lesion is most likely malignant.</think> <answer>malignant</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00047.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The image provided is an ultrasound scan of breast tissue. The lesion appears as a well-defined, hypoechoic mass with smooth borders. These characteristics are commonly associated with benign lesions such as fibroadenomas or cysts. Malignant lesions typically exhibit irregular, spiculated margins and heterogeneous echotexture, which are not observed here. Based on these observations, the lesion is most likely benign.</think> <answer>normal, benign</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00049.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The image provided is an ultrasound scan of breast tissue. To classify this image, I analyzed the visual characteristics such as shape, margins, echogenicity, and internal structure. The lesion appears to have irregular, spiculated margins and heterogeneous echotexture, which are concerning features often associated with malignancy. Additionally, the presence of posterior acoustic shadowing further supports the suspicion of a malignant lesion. Based on these observations, the most likely classification for this image is malignant.</think> <answer>malignant</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00050.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The ultrasound image provided shows a well-defined hypoechoic lesion in the right lobe of the liver (RT LOQC). The lesion appears to have smooth margins and lacks irregular features such as microcalcifications or posterior acoustic shadowing, which are often associated with malignancy. Additionally, there is no evidence of vascular invasion or significant heterogeneity within the lesion. Based on these observations, the characteristics align more closely with a benign finding rather than a malignant one.</think> <answer>normal, benign</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00051.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The ultrasound image provided shows a hypoechoic lesion with irregular borders and heterogeneous internal echogenicity. These features are concerning for malignancy. The lesion appears to have microcalcifications, which are often associated with malignant breast tumors. Additionally, the presence of posterior acoustic shadowing further supports the suspicion of malignancy. Based on these observations, the lesion's characteristics align more closely with those typically seen in malignant breast masses rather than normal or benign findings.</think> <answer>malignant</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00052.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The image provided is an ultrasound scan of breast tissue. To classify this image as either normal/benign or malignant, I analyzed the structural characteristics visible in the image. Key features to assess include the shape, margins, echogenicity, and presence of any calcifications or architectural distortions. In this image, there appears to be irregularity in the tissue structure, with hypoechoic areas that could suggest malignancy. The margins are not well-defined, which is another indicator of potential malignancy. Based on these observations, the most likely classification for this image is malignant.</think> <answer>malignant</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00055.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The image provided is an ultrasound scan of breast tissue. To classify this image as either normal/benign or malignant, I analyzed the following features: shape, margins, echogenicity, and presence of posterior acoustic effects. The lesion appears to have irregular margins and heterogeneous echotexture, which are concerning features often associated with malignancy. Additionally, there is evidence of posterior acoustic shadowing, further supporting the suspicion of a malignant lesion. Based on these observations, the most likely classification for this image is malignant.</think> <answer>malignant</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00058.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The image provided is an ultrasound scan of breast tissue. To classify this image, I analyzed the visual characteristics such as shape, margins, echogenicity, and internal structure. The lesion appears irregular in shape with spiculated or ill-defined margins, which are concerning features for malignancy. Additionally, the heterogeneous internal echo pattern suggests a complex structure often associated with malignant tumors. Based on these observations, the lesion is highly suggestive of malignancy.</think> <answer>malignant</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00059.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The ultrasound image provided shows a well-defined hypoechoic lesion in the left breast (LT LOG). The lesion appears to have smooth margins and no evidence of irregularity or spiculation, which are often associated with malignancy. Additionally, there is no visible posterior acoustic shadowing or enhancement, which further supports a benign nature. Based on these observations, the characteristics align more closely with a benign finding rather than a malignant one.</think> <answer>normal, benign</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00062.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The image provided is an ultrasound scan of breast tissue. To classify this image, I analyzed the visual characteristics such as shape, margins, echogenicity, and presence of any suspicious features. The lesion appears to have well-defined margins and a homogeneous internal structure without irregularities or spiculations, which are often associated with malignancy. Additionally, there is no evidence of posterior acoustic shadowing or enhancement, which further supports a benign nature. Based on these observations, the lesion is most consistent with a benign finding.</think> <answer>normal, benign</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00063.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The ultrasound image provided shows a well-defined hypoechoic lesion in the right lobe of the liver (RT LOQC). The lesion appears to have smooth margins and no evidence of irregularity or microcalcifications, which are often associated with malignancy. Additionally, there is no visible vascular invasion or significant posterior acoustic shadowing, further reducing the likelihood of malignancy. Based on these observations, the characteristics of the lesion align more closely with those typically seen in benign conditions such as hepatic cysts or hemangiomas rather than malignant lesions like hepatocellular carcinoma or metastases.</think> <answer>normal, benign</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00064.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The image provided is an ultrasound scan of breast tissue. To classify this image as either normal/benign or malignant, I analyzed the structural characteristics visible in the image. Key features to assess include the shape, margins, echogenicity, and presence of any suspicious patterns such as microcalcifications or irregular borders. In this image, there appears to be a hypoechoic area with irregular margins and heterogeneous internal echoes, which are concerning features often associated with malignancy. These findings align with typical sonographic criteria for malignancy, including irregular shape and non-uniform texture. Based on these observations, the most likely classification for this image is malignant.</think> <answer>malignant</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00066.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The image provided is an ultrasound scan of breast tissue. To classify this image, I analyzed the characteristics of the lesion visible in the scan. The lesion appears to have irregular borders and heterogeneous internal echogenicity, which are concerning features often associated with malignancy. Additionally, the lesion's size and shape suggest it may not be a simple cyst or benign mass. Based on these observations, the lesion is more likely to represent a malignant tumor rather than a normal or benign finding.</think> <answer>malignant</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00068.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The ultrasound image shows a well-defined, hypoechoic lesion with smooth margins and posterior acoustic enhancement. These features are characteristic of a benign cystic structure, commonly seen in conditions such as simple cysts or benign breast lesions. Malignant lesions typically exhibit irregular borders, heterogeneous echotexture, and lack of posterior acoustic enhancement. Based on these observations, the lesion in this image aligns more closely with benign characteristics.</think> <answer>normal, benign</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00071.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The image provided is an ultrasound scan of breast tissue. To classify this image as either normal/benign or malignant, I analyzed the structural characteristics visible in the image. Key features to assess include the presence of irregular masses, hypoechoic regions, posterior acoustic shadowing, and architectural distortion. In this image, there appears to be no significant evidence of irregular masses or hypoechoic areas that would suggest malignancy. The tissue structure seems uniform without notable abnormalities. Based on these observations, the image is more consistent with normal or benign findings.</think> <answer>normal, benign</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00072.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The image provided is an ultrasound scan of breast tissue. To classify this image, I analyzed the visual characteristics such as tissue echogenicity, presence of masses, and structural irregularities. The image shows heterogeneous echotexture with areas of increased density and irregular borders, which are concerning features often associated with malignancy. Additionally, there is no clear evidence of benign characteristics like well-defined, smooth margins or uniform echogenicity. Based on these observations, the most likely classification for this image is malignant.</think> <answer>malignant</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00074.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The image provided is an ultrasound scan of breast tissue. To classify this image, I analyzed the visual characteristics such as shape, margins, echogenicity, and presence of any suspicious features. The lesion appears to have irregular margins and heterogeneous echotexture, which are concerning features often associated with malignancy. Additionally, there is no clear evidence of posterior acoustic enhancement or shadowing that might suggest a benign cystic structure. Based on these observations, the lesion's characteristics align more closely with those typically seen in malignant cases.</think> <answer>malignant</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00077.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The ultrasound image provided shows an axillary lymph node. To determine whether this lymph node is benign or malignant, several key features need to be evaluated. First, the shape of the lymph node is assessed; benign nodes typically have a more oval shape, while malignant nodes often appear more irregular or round. Second, the cortical thickness is examined; benign nodes generally have a thinner cortex (less than 3 mm), whereas malignant nodes may exhibit a thicker cortex. Third, the presence of hilum is considered; benign nodes usually have a visible hilum, while malignant nodes often lack it. In this image, the lymph node appears to have a relatively oval shape with a visible hilum and a thin cortex, which are indicative of a benign nature. Based on these observations, the lymph node is classified as benign.</think> <answer>normal, benign</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00078.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The image provided is an ultrasound scan of breast tissue. The lesion appears as a well-defined, hypoechoic mass with smooth margins. These characteristics are commonly associated with benign lesions such as fibroadenomas or cysts. Malignant lesions typically exhibit irregular, spiculated margins and heterogeneous echotexture, which are not observed here. Based on these observations, the lesion is most likely benign.</think> <answer>normal, benign</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00080.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The image provided is an ultrasound scan of breast tissue. To classify this image as either normal/benign or malignant, I analyzed the structural characteristics visible in the scan. Key features to assess include the presence of irregular masses, hypoechoic regions, posterior acoustic shadowing, and architectural distortion. In this image, there appears to be no significant evidence of irregular masses or hypoechoic areas that would suggest malignancy. The tissue structure seems homogeneous without notable abnormalities. Based on these observations, the image is more consistent with normal or benign findings.</think> <answer>normal, benign</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00081.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The ultrasound image provided shows a hypoechoic lesion in the right upper outer quadrant (RT UOQ) of the breast. The lesion appears well-circumscribed with smooth margins, which are typical characteristics of benign lesions such as fibroadenomas or cysts. There is no evidence of irregular borders, posterior acoustic shadowing, or architectural distortion, which are often associated with malignancy. Additionally, the absence of microcalcifications further supports a benign diagnosis. Based on these observations, the lesion is most likely benign.</think> <answer>normal, benign</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00082.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The ultrasound image shows a well-defined, hypoechoic lesion with smooth margins and posterior acoustic enhancement. These features are characteristic of a benign cystic structure, commonly seen in conditions such as simple cysts or benign breast lesions. Malignant lesions typically present with irregular borders, heterogeneous echotexture, and lack of posterior acoustic enhancement. Based on these observations, the lesion in this image aligns more closely with benign characteristics.</think> <answer>normal, benign</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00084.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The image provided is an ultrasound scan of breast tissue. To classify this image, I analyzed the structural characteristics visible in the scan. Key features to evaluate include the presence of masses, their margins, echogenicity, and any architectural distortions. In this image, there are no clear indications of irregular or spiculated masses, which are often associated with malignancy. The tissue appears homogeneous without significant hypoechoic or hyperechoic regions that might suggest abnormal growths. Additionally, there are no signs of microcalcifications or architectural disruptions typically seen in malignant cases. Based on these observations, the image is consistent with normal or benign findings.</think> <answer>normal, benign</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00085.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The image provided is an ultrasound scan of breast tissue. To classify this image, I analyzed the visual characteristics such as tissue echogenicity, presence of masses, and structural irregularities. The image shows heterogeneous echotexture with areas of increased density and irregular borders, which are concerning features often associated with malignancy. Additionally, there is no clear evidence of benign characteristics like well-defined, smooth margins or uniform echotexture. Based on these observations, the most likely classification for this image is malignant.</think> <answer>malignant</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00086.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The ultrasound image provided shows an axillary region with a hypoechoic mass. The mass appears well-defined and lacks irregular margins or microcalcifications, which are often associated with malignancy. Additionally, there is no evidence of posterior acoustic shadowing or enhancement, which further supports a benign nature. Based on these observations, the characteristics align more closely with a benign lesion rather than a malignant one.</think> <answer>normal, benign</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00091.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The ultrasound image provided shows a well-defined hypoechoic lesion in the right breast (RT6). The lesion appears to have smooth margins and no significant posterior acoustic shadowing or enhancement, which are features typically associated with benign lesions such as fibroadenomas. Additionally, there is no evidence of irregular borders, microcalcifications, or architectural distortion that would suggest malignancy. Based on these observations, the lesion is most consistent with a benign finding.</think> <answer>normal, benign</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00095.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The image provided is an ultrasound scan of breast tissue. To classify this image, I analyzed the visual characteristics such as shape, margins, echogenicity, and internal structure. The lesion appears irregular in shape with poorly defined margins, which are concerning features for malignancy. Additionally, the heterogeneous echotexture and areas of posterior acoustic shadowing further support the suspicion of a malignant lesion. Based on these observations, the most likely classification for this image is malignant.</think> <answer>malignant</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00096.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The image provided is an ultrasound scan of breast tissue. The lesion appears as a well-defined, hypoechoic mass with smooth margins. These characteristics are commonly associated with benign lesions such as fibroadenomas or cysts. Malignant lesions typically exhibit irregular, spiculated margins and heterogeneous echotexture, which are not observed here. Based on these observations, the lesion is most likely benign.</think> <answer>normal, benign</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00098.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The image provided is an ultrasound scan of breast tissue. To classify this image, I analyzed the visual characteristics such as shape, margins, echogenicity, and internal structure. The lesion appears to have irregular, spiculated margins, which are often associated with malignancy. Additionally, the hypoechoic nature and heterogeneous internal texture further support the suspicion of a malignant lesion. Based on these observations, the most likely classification for this image is malignant.</think> <answer>malignant</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00099.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The image provided is an ultrasound scan of breast tissue. To classify this image, I analyzed the structural characteristics visible in the scan. Key features to evaluate include the shape, margins, echogenicity, and presence of any calcifications or architectural distortions. In this image, there appears to be a hypoechoic mass with irregular borders and heterogeneous internal echoes, which are concerning features often associated with malignancy. Additionally, the lack of clear, smooth margins further supports the suspicion of a malignant lesion. Based on these observations, the most likely classification for this image is malignant.</think> <answer>malignant</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00102.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The image provided is an ultrasound scan of breast tissue. The key features to evaluate include the shape, margins, echogenicity, and presence of posterior acoustic effects such as shadowing or enhancement. In this image, there is a hypoechoic lesion with well-defined margins and no significant posterior acoustic shadowing or enhancement. These characteristics are more consistent with a benign lesion rather than a malignant one. Malignant lesions typically exhibit irregular shapes, spiculated margins, and posterior acoustic shadowing. Based on these observations, the lesion appears to be benign.</think> <answer>normal, benign</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00103.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The image provided is an ultrasound scan of breast tissue. To classify this image, I analyzed the visual characteristics such as shape, margins, echogenicity, and internal structure. The lesion appears to have irregular, spiculated margins and heterogeneous echotexture, which are concerning features often associated with malignancy. Additionally, the presence of posterior acoustic shadowing further supports the suspicion of a malignant lesion. Based on these observations, the most likely classification for this image is malignant.</think> <answer>malignant</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00104.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The image provided is an ultrasound scan of breast tissue. The lesion appears well-defined with smooth margins, which is often characteristic of benign lesions. Additionally, there is no evidence of irregular or spiculated borders, posterior acoustic shadowing, or increased vascularity, all of which are features more commonly associated with malignancy. Based on these observations, the lesion is most likely benign.</think> <answer>normal, benign</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00106.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The provided image appears to be an ultrasound scan of breast tissue. To classify this image, I analyzed the structural characteristics visible in the scan. Key features such as tissue density, presence of masses, and irregularities were evaluated. The image shows a heterogeneous texture without clear evidence of a distinct mass or calcifications typically associated with malignancy. Additionally, there are no signs of architectural distortion or suspicious microcalcifications that would suggest malignancy. Based on these observations, the image is more consistent with normal or benign findings.</think> <answer>normal, benign</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00107.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The image provided is an ultrasound scan of breast tissue. To classify this image as either normal/benign or malignant, I analyzed the structural characteristics visible in the image. Key features to consider include the shape, margins, echogenicity, and presence of any suspicious patterns such as microcalcifications or irregular borders. In this image, there appears to be a well-defined mass with smooth, regular margins and homogeneous internal echoes, which are typical characteristics of benign lesions. There are no signs of irregular or spiculated margins, posterior acoustic shadowing, or other features commonly associated with malignancy. Based on these observations, the lesion is most likely benign.</think> <answer>normal, benign</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00108.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The ultrasound image provided shows a well-defined, hypoechoic lesion with smooth margins. The absence of irregular or spiculated borders, posterior acoustic shadowing, or increased vascularity suggests that this lesion is less likely to be malignant. Additionally, the overall appearance aligns more closely with characteristics typically seen in benign breast lesions, such as fibroadenomas. Based on these observations, the lesion is most consistent with a benign finding.</think> <answer>normal, benign</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00110.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The image provided is an ultrasound scan of breast tissue. To classify this image as either normal/benign or malignant, I analyzed the structural characteristics visible in the image. Key features to assess include the presence of any irregular masses, hypoechoic regions, microcalcifications, or architectural distortions. In this image, there appears to be no evidence of irregular masses or significant hypoechoic areas that would suggest malignancy. The tissue structure seems homogeneous without notable abnormalities. Based on these observations, the image is consistent with normal or benign findings.</think> <answer>normal, benign</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00112.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The image provided is an ultrasound scan of breast tissue. To classify this image, I analyzed the structural characteristics visible in the scan. The lesion appears to have well-defined borders and a homogenous internal structure, which are typical features of benign lesions such as cysts or fibroadenomas. There is no evidence of irregular margins, microcalcifications, or posterior acoustic shadowing, which are often associated with malignant tumors. Based on these observations, the lesion is most likely benign.</think> <answer>normal, benign</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00113.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The ultrasound image shows a well-defined, hypoechoic lesion with smooth margins located in the soft tissue. The lesion appears to be encapsulated and lacks irregular or spiculated borders, which are often associated with malignancy. Additionally, there is no evidence of posterior acoustic shadowing or significant vascularity that might suggest aggressive behavior. Based on these observations, the characteristics align more closely with those of a benign lesion rather than a malignant one.</think> <answer>normal, benign</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00114.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The ultrasound image provided shows a well-defined hypoechoic lesion with smooth margins located in the soft tissue. The lesion appears to have a uniform internal structure without irregularities or microcalcifications, which are often associated with malignancy. Additionally, there is no evidence of posterior acoustic shadowing or enhancement, further suggesting a benign nature. Based on these observations, the characteristics align more closely with those typically seen in benign lesions rather than malignant ones.</think> <answer>normal, benign</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00115.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The ultrasound image provided shows a hypoechoic lesion with irregular borders and posterior acoustic shadowing. These features are concerning for malignancy. The lesion's irregular shape and lack of clear demarcation from surrounding tissues further support this suspicion. Additionally, the presence of posterior acoustic shadowing is often associated with malignant lesions due to their dense composition. Based on these observations, the most likely classification for this lesion is malignant.</think> <answer>malignant</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00117.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The image provided is an ultrasound scan of breast tissue. To classify this image, I analyzed the characteristics of the lesion visible in the scan. The lesion appears to have well-defined margins, a homogeneous internal structure, and no evidence of posterior acoustic shadowing or irregularity. These features are consistent with benign findings. Malignant lesions typically exhibit irregular borders, heterogeneous echotexture, and may show posterior acoustic shadowing. Based on these observations, the lesion in the image is most likely benign.</think> <answer>normal, benign</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00118.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The ultrasound image provided shows a hypoechoic mass with irregular borders and heterogeneous internal echotexture. These features are concerning for malignancy. In clinical practice, such characteristics often correlate with malignant lesions due to their irregular growth patterns and lack of uniformity. Additionally, the presence of posterior acoustic shadowing further supports the suspicion of malignancy. Based on these observations, the most likely classification for this lesion is malignant.</think> <answer>malignant</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00119.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The image provided is an ultrasound scan of breast tissue. To classify this image as either normal/benign or malignant, I analyzed the structural characteristics visible in the image. Key features to assess include the shape, margins, echogenicity, and presence of any suspicious patterns such as microcalcifications or irregular borders. In this image, there appears to be a well-defined, hypoechoic mass with smooth, regular margins. These characteristics are more consistent with benign findings rather than malignant ones, which typically exhibit irregular shapes, spiculated margins, and heterogeneous echotexture. Based on these observations, the most likely classification for this image is 'normal, benign.'</think> <answer>normal, benign</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00120.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The image provided is an ultrasound scan of breast tissue. To classify this image, I analyzed the characteristics of the lesion visible in the scan. The lesion appears well-defined, oval-shaped, and hypoechoic (darker than surrounding tissue), which are typical features of a benign mass such as a fibroadenoma. There are no irregular borders, posterior acoustic shadowing, or microcalcifications, which are often associated with malignant lesions. Based on these observations, the lesion is most consistent with a benign finding.</think> <answer>normal, benign</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00123.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The image provided is an ultrasound scan of breast tissue. To classify this image, I analyzed the echotexture, presence of any masses, and structural abnormalities. The image shows homogeneous echotexture without any distinct hypoechoic or hyperechoic regions that would suggest a mass or lesion. There are no irregular borders, posterior acoustic shadowing, or architectural distortions typically associated with malignancy. Based on these observations, the findings are consistent with normal or benign breast tissue.</think> <answer>normal, benign</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00125.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The ultrasound image provided shows a well-defined, hypoechoic lesion with smooth margins. The lesion appears to be homogeneous without any irregularities or microcalcifications. These characteristics are commonly associated with benign thyroid nodules. Malignant lesions typically exhibit features such as irregular borders, microcalcifications, and heterogeneous echotexture, none of which are present in this image. Based on these observations, the lesion is most likely benign.</think> <answer>normal, benign</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00126.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The image provided is an ultrasound scan of breast tissue. To classify this image, I analyzed the characteristics of the lesion visible in the scan. The lesion appears to have well-defined borders and a homogeneous internal structure, which are typical features of benign lesions such as fibroadenomas or cysts. There is no evidence of irregular margins, posterior acoustic shadowing, or architectural distortion, which are often associated with malignant tumors. Based on these observations, the lesion is most likely benign.</think> <answer>normal, benign</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00129.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The ultrasound image provided shows a well-defined hypoechoic lesion with smooth margins. The lesion appears to be encapsulated and lacks irregular or spiculated borders, which are often associated with malignancy. Additionally, there is no evidence of posterior acoustic shadowing or significant vascularity that might suggest aggressive behavior. Based on these observations, the characteristics align more closely with those of a benign lesion rather than a malignant one.</think> <answer>normal, benign</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00132.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The provided ultrasound image shows a hypoechoic lesion with irregular borders and heterogeneous internal echotexture. These features are concerning for malignancy. In clinical practice, such characteristics often correlate with invasive breast cancer. The lesion's size, shape, and echogenicity were carefully evaluated to differentiate it from benign findings like cysts or fibroadenomas, which typically present as well-circumscribed, anechoic, or homogeneously hypoechoic structures. Based on these observations, the lesion is more consistent with a malignant process.</think> <answer>malignant</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00133.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The image provided is an ultrasound scan of breast tissue. To classify this image as either normal/benign or malignant, I analyzed the structural characteristics visible in the image. Key features to assess include the presence of any irregular masses, hypoechoic regions, posterior acoustic shadowing, and architectural distortion. In this image, there appears to be no significant evidence of irregular masses or hypoechoic areas that would suggest malignancy. The tissue structure seems uniform without notable abnormalities. Based on these observations, the image is more consistent with normal or benign findings.</think> <answer>normal, benign</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00137.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The ultrasound image provided shows a hypoechoic lesion with well-defined borders and homogeneous internal echotexture. These characteristics are commonly associated with benign thyroid nodules. The absence of irregular margins, microcalcifications, or increased vascularity further supports this assessment. Based on clinical knowledge and imaging features, the lesion does not exhibit typical malignant characteristics such as irregular shape, hypoechogenicity, or posterior acoustic shadowing. Therefore, the most likely classification for this lesion is 'benign'.</think> <answer>normal, benign</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00138.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The ultrasound image provided shows a breast lesion characterized by irregular borders, heterogeneous echotexture, and posterior acoustic shadowing. These features are concerning for malignancy based on established diagnostic criteria. Irregular margins often indicate invasive growth patterns, while heterogeneous echotexture suggests varying tissue densities typical of malignant tumors. Posterior acoustic shadowing further supports the presence of a dense mass, which is commonly associated with malignant lesions. By systematically analyzing these sonographic characteristics, the most likely diagnosis is malignancy.</think> <answer>malignant</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00139.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The image provided is an ultrasound scan of breast tissue. The lesion appears irregular in shape, with poorly defined margins and heterogeneous echotexture. These characteristics are concerning for malignancy. Additionally, the presence of posterior acoustic shadowing further supports the suspicion of a malignant lesion. Based on clinical knowledge, such features are commonly associated with breast cancer rather than benign conditions.</think> <answer>malignant</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00142.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The image provided is an ultrasound scan of breast tissue. To classify this image, I analyzed the visual characteristics such as shape, margins, echogenicity, and presence of any suspicious features. The lesion appears to have irregular margins and heterogeneous echotexture, which are concerning features often associated with malignancy. Additionally, there is no clear evidence of benign characteristics like well-defined borders or uniform echogenicity. Based on these observations, the lesion is more likely to be classified as malignant.</think> <answer>malignant</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00143.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The image provided is an ultrasound of the breast, showing a well-defined hypoechoic lesion. The lesion appears to have smooth margins and no significant posterior acoustic shadowing or enhancement. These characteristics are typically associated with benign lesions such as fibroadenomas or cysts. Malignant lesions often present with irregular, spiculated margins, increased vascularity, and posterior acoustic features like shadowing or enhancement. Based on the visual assessment of this image, the lesion does not exhibit features commonly associated with malignancy.</think> <answer>normal, benign</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00144.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The image provided is an ultrasound scan of breast tissue. To classify this image, I analyzed the visual characteristics such as shape, margins, echogenicity, and internal structure. The lesion appears irregular in shape with spiculated or ill-defined margins, which are concerning features for malignancy. Additionally, the heterogeneous internal echo pattern suggests complexity within the lesion, further supporting the suspicion of malignancy. Based on these observations, the most likely classification for this image is malignant.</think> <answer>malignant</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00148.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The image provided is an ultrasound scan of breast tissue. To classify this image as either normal/benign or malignant, I analyzed the structural characteristics visible in the image. Key features to assess include the presence of irregular masses, hypoechoic regions, microcalcifications, and architectural distortion. In this image, there appears to be no significant evidence of irregular masses or hypoechoic areas that would suggest malignancy. The overall tissue structure seems homogeneous without notable abnormalities. Based on these observations, the image is more consistent with normal or benign findings.</think> <answer>normal, benign</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00149.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The image provided is an ultrasound scan of breast tissue. The analysis begins by examining the overall structure and characteristics of the lesion visible in the image. Key features to assess include shape, margins, echogenicity, and any posterior acoustic effects. In this case, the lesion appears irregular in shape with poorly defined margins, which are concerning features often associated with malignancy. Additionally, the lesion exhibits heterogeneous echogenicity, another hallmark of potential malignancy. These findings align with typical imaging characteristics of malignant breast lesions as described in clinical guidelines. Based on these observations, the most likely classification for this lesion is malignant.</think> <answer>malignant</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00151.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The ultrasound image provided shows a well-defined hypoechoic lesion with smooth margins and posterior acoustic enhancement. These features are characteristic of a benign thyroid nodule, such as a colloid nodule or cystic nodule. Malignant lesions typically exhibit irregular borders, microcalcifications, and increased vascularity, none of which are evident in this image. Based on these observations, the lesion is most consistent with a benign finding.</think> <answer>normal, benign</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00152.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The image provided is an ultrasound scan of breast tissue. To classify this image as either normal/benign or malignant, I analyzed the structural characteristics visible in the image. Key features to assess include the presence of irregular masses, hypoechoic regions, posterior acoustic shadowing, and architectural distortion. In this image, there appears to be a well-defined, hypoechoic area without significant posterior shadowing or irregular borders, which are typical indicators of benign lesions such as fibroadenomas. Additionally, no evidence of spiculated margins or heterogeneous echotexture suggests malignancy. Based on these observations, the lesion is more consistent with a benign finding.</think> <answer>normal, benign</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00156.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The image provided is an ultrasound scan of breast tissue. To classify this image, I analyzed the visual characteristics such as shape, margins, echogenicity, and internal structure. The lesion appears irregular in shape with poorly defined margins, which are concerning features for malignancy. Additionally, the heterogeneous internal echo pattern suggests the presence of solid components, further raising suspicion for malignancy. Based on these observations, the lesion's characteristics align more closely with those typically seen in malignant breast lesions rather than normal or benign findings.</think> <answer>malignant</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00158.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The image provided is an ultrasound scan of breast tissue. To classify this image, I analyzed the visual characteristics such as shape, margins, echogenicity, and internal structure. The lesion appears to have irregular, spiculated margins and heterogeneous echotexture, which are concerning features often associated with malignancy. Additionally, the presence of posterior acoustic shadowing further supports the suspicion of a malignant lesion. Based on these observations, the most likely classification for this image is malignant.</think> <answer>malignant</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00161.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The image provided is an ultrasound scan of breast tissue. To classify this image, I analyzed the structural characteristics visible in the scan. Key features to assess include the shape, margins, echogenicity, and presence of any calcifications or posterior acoustic effects. In this image, there is a well-defined, oval-shaped hypoechoic lesion with smooth, circumscribed margins. These features are consistent with benign findings, such as a fibroadenoma or cyst. There are no irregular or spiculated margins, posterior shadowing, or microcalcifications that would suggest malignancy. Based on these observations, the most likely classification for this image is 'benign'.</think> <answer>normal, benign</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00163.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The ultrasound image provided shows a hypoechoic mass with irregular borders and heterogeneous internal echotexture. These features are concerning for malignancy due to their association with invasive growth patterns and tissue heterogeneity. Additionally, the presence of posterior acoustic shadowing further supports the suspicion of a malignant lesion. Based on clinical knowledge and imaging characteristics, this lesion is more likely to be classified as malignant rather than normal or benign.</think> <answer>malignant</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00164.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The image provided is an ultrasound scan of breast tissue. To classify this image, I analyzed the characteristics of the lesion visible in the scan. Key features to consider include shape, margins, echogenicity, and posterior acoustic effects. In this image, the lesion appears irregular in shape with poorly defined margins, which are concerning features often associated with malignancy. Additionally, the lesion exhibits heterogeneous echogenicity and possible posterior acoustic shadowing, further supporting the suspicion of malignancy. Based on these observations, the most likely classification for this lesion is malignant.</think> <answer>malignant</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00166.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The image provided is an ultrasound scan of breast tissue. To classify this image, I analyzed the characteristics of the lesion visible in the scan. Key features to consider include shape, margins, echogenicity, and posterior acoustic effects. In this image, the lesion appears irregular in shape with poorly defined margins, which are concerning features often associated with malignancy. Additionally, the lesion exhibits heterogeneous echogenicity and possible posterior acoustic shadowing, further supporting the suspicion of malignancy. Based on these observations, the most likely classification for this lesion is malignant.</think> <answer>malignant</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00170.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The image provided is an ultrasound scan of breast tissue. To classify this image, I analyzed the characteristics of the lesion visible in the scan. Key features to evaluate include shape, margins, echogenicity, and posterior acoustic effects. The lesion appears irregular in shape with poorly defined margins, which are concerning features often associated with malignancy. Additionally, the internal echotexture is heterogeneous, another indicator that raises suspicion for malignancy. Based on these observations, the lesion's characteristics align more closely with those typically seen in malignant breast tumors rather than benign ones.</think> <answer>malignant</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00173.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The ultrasound image provided shows a hypoechoic mass with irregular borders and heterogeneous internal echotexture. These features are concerning for malignancy. In clinical practice, such characteristics are often associated with malignant breast lesions, particularly when combined with other diagnostic findings like microcalcifications or architectural distortion. The absence of well-defined margins and the presence of irregularity further support this assessment. Based on these observations, the most likely classification for this lesion is malignant.</think> <answer>malignant</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00174.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The image provided is an ultrasound scan of breast tissue. The analysis begins by examining the overall structure and characteristics of the lesion visible in the image. Key features to assess include shape, margins, echogenicity, and any posterior acoustic effects. In this case, the lesion appears irregular in shape with poorly defined margins, which are concerning features for malignancy. Additionally, the lesion exhibits heterogeneous echogenicity and possible posterior acoustic shadowing, further supporting suspicion of malignancy. Based on these observations, the lesion's characteristics align more closely with those typically seen in malignant breast tumors rather than benign lesions or normal tissue.</think> <answer>malignant</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00181.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The image provided is an ultrasound scan of breast tissue. To classify this image, I analyzed the structural characteristics visible in the scan. The lesion appears well-defined with smooth borders and a hypoechoic appearance, which are typical features of benign lesions such as fibroadenomas or cysts. There is no evidence of irregular margins, posterior acoustic shadowing, or architectural distortion, which are often associated with malignancy. Based on these observations, the lesion is most consistent with a benign finding.</think> <answer>normal, benign</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00182.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The image provided is an ultrasound scan of breast tissue. To classify this image as either normal/benign or malignant, I analyzed the structural characteristics visible in the image. Key features to assess include the presence of irregular masses, hypoechoic regions, posterior acoustic shadowing, and architectural distortion. In this image, there appears to be an irregular mass with poorly defined margins and heterogeneous echotexture, which are concerning features suggestive of malignancy. Additionally, the absence of clear benign characteristics such as well-defined borders and uniform echogenicity further supports the likelihood of malignancy.</think> <answer>malignant</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00183.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The image provided is an ultrasound scan of breast tissue. To classify this image, I analyzed the visual characteristics such as shape, margins, echogenicity, and internal structure. The lesion appears to have irregular, spiculated margins and heterogeneous echotexture, which are concerning features often associated with malignancy. Additionally, the presence of posterior acoustic shadowing further supports the suspicion of a malignant lesion. Based on these observations, the most likely classification for this image is malignant.</think> <answer>malignant</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00185.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The image provided is an ultrasound scan of breast tissue. To classify this image, I analyzed the characteristics of the lesion visible in the scan. Key features to consider include shape, margins, echogenicity, and presence of posterior acoustic effects such as shadowing or enhancement. In this image, the lesion appears irregular in shape with poorly defined margins, which are concerning features often associated with malignancy. Additionally, there is evidence of posterior acoustic shadowing, further suggesting a malignant nature. Based on these observations, the lesion is more likely to be classified as malignant.</think> <answer>malignant</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00186.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The ultrasound image provided shows a hypoechoic lesion with well-defined borders and an oval shape. The lesion appears to have smooth margins without irregularities or spiculations, which are often associated with malignancy. Additionally, there is no evidence of posterior acoustic shadowing or enhancement, which further supports a benign nature. Based on these observations, the characteristics align more closely with those typically seen in benign lesions rather than malignant ones.</think> <answer>normal, benign</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00190.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The image provided is an ultrasound scan of breast tissue. To classify this image, I analyzed the visual characteristics such as tissue echogenicity, presence of masses, and structural irregularities. The image shows a hypoechoic area with irregular borders and heterogeneous internal echoes, which are concerning features for malignancy. These findings align with typical sonographic patterns seen in malignant lesions, such as invasive ductal carcinoma. Based on these observations, the most likely classification is malignant.</think> <answer>malignant</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00192.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The image provided is an ultrasound scan of breast tissue. The lesion appears irregular in shape, with poorly defined margins and heterogeneous echogenicity. These characteristics are concerning for malignancy. Additionally, the presence of posterior acoustic shadowing further supports the suspicion of a malignant lesion. Based on clinical knowledge, such features are commonly associated with invasive carcinomas rather than benign conditions. Therefore, the most likely classification for this lesion is malignant.</think> <answer>malignant</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00196.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The image provided is an ultrasound scan of breast tissue. To classify this image, I analyzed the visual characteristics such as shape, margins, echogenicity, and presence of any suspicious features. The lesion appears irregular in shape with poorly defined margins, which are concerning features often associated with malignancy. Additionally, there is evidence of posterior acoustic shadowing, another indicator that supports the suspicion of malignancy. Based on these observations, the lesion is more likely to be malignant rather than normal or benign.</think> <answer>malignant</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00200.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The ultrasound image provided shows a hypoechoic lesion in the right thyroid lobe (RT2). The lesion appears irregular in shape and has poorly defined margins, which are concerning features for malignancy. Additionally, the presence of microcalcifications within the lesion further supports the suspicion of malignancy. These findings align with typical characteristics of thyroid cancer on ultrasound imaging, such as irregular borders, hypoechogenicity, and calcifications. Based on these observations, the most likely diagnosis is malignant.</think> <answer>malignant</answer>",
"role": "assistant"
}
] |
[
"MedMNIST/BreastMNIST/train/images/00201.png"
] |
[
{
"content": "<image>You should first think about the reasoning process in your mind and then provide the answer.The reasoning process and answer are enclosed within <think> … </think> and <answer> … </answer> tags, respectively.This is a binary classification task with two categories: normal, benign and malignant.You must put your final predicted category inside the <answer> … </answer> tags.example 1:<think>......</think><answer>normal, benign</answer>example 2:<think>......</think><answer>malignant<answer>",
"role": "user"
},
{
"content": "<think>The ultrasound image provided shows a well-defined hypoechoic lesion with smooth margins. The lesion appears to be homogeneous without irregular borders or microcalcifications, which are often associated with malignancy. Additionally, there is no evidence of posterior acoustic shadowing or enhancement, further suggesting a benign nature. Based on these observations, the characteristics align more closely with those typically seen in benign breast lesions rather than malignant ones.</think> <answer>normal, benign</answer>",
"role": "assistant"
}
] |
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