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---
license: mit
tags:
- gan
- progan
- generative-ai
- medical-imaging
- pytorch
language:
- en
library_name: pytorch
model-index:
- name: ProGAN-Mammography-NonLesion
results:
- task:
type: image-generation
name: Image Generation
dataset:
name: VinDr-Mammogram (subset)
type: medical-imaging
metrics:
- type: qualitative-evaluation
value: Visual realism of generated nodules
---
# ProGAN-Mammography-NonLesion-General
## 🖼️ Model Description
This model is an implementation of **Progressive Growing of GANs (ProGAN)**, meticulously trained to generate medical images of mammograms, most of which do not present malignant lesions. Its objective is to synthesize realistic images for data augmentation, research, or studying complex patterns in mammograms.
> This model is part of a broader research effort on the application of GANs in medical mammography imaging.
## ⚙️ Architecture Details
* **GAN Type:** Progressive Growing of GANs (ProGAN)
* **Generator:** The generator's architecture is defined in `progan_model.py`. This file includes the `Generator` class necessary to instantiate the model.
* **Generator Weights:** The main generator weights are found in the file `generator_size_512_119.pth`. This is the checkpoint with the highest resolution and training epoch achieved.
* **Critic/Discriminator Weights:** (Optional) The critic/discriminator weights are found in the file `critic_size_512_119.pth`.
## 📊 Training Dataset
The model was trained using the following dataset:
> This model was primarily trained using a subset of the 'VinDr-Mammogram' dataset, specifically curated to include only mammograms classified as **normal or benign without significant lesions**. The VinDr-Mammogram dataset was meticulously curated and labeled by experienced radiologists, and its labeling scheme is unique. This model was developed as part of a Bachelor's Final Project at the University of Extremadura (UEX).
It is recommended to review the original dataset documentation for more details on its composition and characteristics.
## 🚀 How to Use This Model
### Requirements
Make sure you have the following Python libraries installed:
```bash
pip install torch
pip install huggingface_hub
```
## 🖼️ Example Generated Image
MIT License
Copyright (c) 2025 Telmo
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