giocoal/CXR-ACGAN-chest-xray-generator-covid19-pneumonia

CXR-ACGAN: Auxiliary Classifier GAN (AC-GAN) for Chest X-Ray (CXR) Images Generation (Pneumonia, COVID-19 and healthy patients) for the purpose of data augmentation. Implemented in TensorFlow, trained on COVIDx CXR-3 dataset.

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This project helps medical researchers and diagnostics professionals generate synthetic chest X-ray images. You input existing chest X-rays (normal, COVID-19, or pneumonia) and it produces new, realistic X-ray images of these conditions. This is ideal for medical imaging specialists or researchers who need to expand limited datasets for training AI models.

No commits in the last 6 months.

Use this if you need to create additional, realistic chest X-ray images to augment your dataset for research or diagnostic model training, especially when dealing with rare conditions or imbalanced data.

Not ideal if you are looking for a tool to directly diagnose patients or classify X-rays without additional model training.

medical-imaging radiology-research data-augmentation diagnostic-support chest-xray-analysis
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 11 / 25

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Stars

12

Forks

2

Language

Python

License

MIT

Last pushed

Jun 14, 2023

Commits (30d)

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