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DATA_DICTIONARY.md
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# CheXmask Database Data Dictionary
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## CSV File Structure
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Each dataset in the CheXmask Database is provided as a separate CSV file. Below are detailed descriptions of all fields/variables present in these files.
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### Image Identification
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**Field Name**: Image ID
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**Description**: Reference identifier linking to original image in source dataset
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**Type**: String
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**Notes**: Format varies by source dataset (ChestX-ray8, CheXpert, MIMIC-CXR-JPG, Padchest, VinDr-CXR)
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### Quality Metrics
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**Field Name**: Dice RCA (Max)
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**Description**: Maximum Dice Similarity Coefficient from Reverse Classification Accuracy
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**Type**: Float
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**Range**: 0.0 to 1.0
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**Units**: Dimensionless
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**Notes**: Higher values indicate better segmentation quality
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**Field Name**: Dice RCA (Mean)
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**Description**: Mean Dice Similarity Coefficient from Reverse Classification Accuracy
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**Type**: Float
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**Range**: 0.0 to 1.0
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**Units**: Dimensionless
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**Notes**: Recommended threshold for use is >= 0.7
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### Anatomical Features
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**Field Name**: Landmarks
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**Description**: Set of points representing organ contours generated by HybridGNet model
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**Type**: Array of coordinates
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**Format**: JSON array of [x,y] coordinates
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**Units**: Pixels
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**Field Name**: Left Lung
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**Description**: Segmentation mask for left lung
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**Type**: String
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**Format**: Run-length encoding (RLE)
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**Notes**: Must be decoded using provided dimensions
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**Field Name**: Right Lung
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**Description**: Segmentation mask for right lung
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**Type**: String
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**Format**: Run-length encoding (RLE)
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**Notes**: Must be decoded using provided dimensions
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**Field Name**: Heart
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**Description**: Segmentation mask for heart
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**Type**: String
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**Format**: Run-length encoding (RLE)
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**Notes**: Must be decoded using provided dimensions
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### Image Dimensions
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**Field Name**: Height
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**Description**: Height of segmentation mask
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**Type**: Integer
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**Units**: Pixels
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**Notes**: Required for decoding RLE masks
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**Field Name**: Width
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**Description**: Width of segmentation mask
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**Type**: Integer
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**Units**: Pixels
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**Notes**: Required for decoding RLE masks
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## Additional Notes
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1. **RLE Format**: Run-length encoding is used to compress the binary mask data. Each RLE string represents pairs of (start_position, run_length) for the mask. A decoding script is present in the GitHub repository.
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