aahmadnejad/BiasCXR
This repository is a debiassing project on CXR Dataset with embedding which is publicly available.
This project helps medical AI developers and researchers mitigate algorithmic bias in deep learning models trained on chest X-ray images. It takes raw chest X-ray data along with patient demographic information and applies intelligent sampling techniques. The output is a rebalanced dataset that leads to AI models with improved fairness across different patient groups while maintaining diagnostic accuracy.
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Use this if you are developing AI models for medical imaging and are concerned about equitable performance across patient demographics like race, gender, age, or insurance status.
Not ideal if your dataset is not chest X-rays, or if you are not working with deep learning models for medical image classification.
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Python
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Last pushed
Apr 16, 2025
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