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The official Pytorch implementation of paper "FairAdaBN: Mitigating unfairness with adaptive batch normalization and its application to dermatological disease classification" accepted by MICCAI 2023

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FairAdaBN

The official Pytorch implementation of the paper "FairAdaBN: Mitigating unfairness with adaptive batch normalization and its application to dermatological disease classification" accepted by MICCAI 2023

Please consider citing our paper if you find this repo useful.

@InProceedings{xu2023fairadabn,
author="Xu, Zikang and Zhao, Shang and Quan, Quan and Yao, Qingsong and Zhou, S. Kevin",
title="FairAdaBN: Mitigating Unfairness with Adaptive Batch Normalization and Its Application to Dermatological Disease Classification",
booktitle="Medical Image Computing and Computer Assisted Intervention -- MICCAI 2023",
year="2023",
publisher="Springer Nature Switzerland",
address="Cham",
pages="307--317",
}

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The official Pytorch implementation of paper "FairAdaBN: Mitigating unfairness with adaptive batch normalization and its application to dermatological disease classification" accepted by MICCAI 2023

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