This code corresponds to our Nature Medicine paper on "Generative models improve fairness of medical classifiers under distribution shifts". In this codebase we release models (both classifiers and generative models) for the Camelyon17K dataset.
All code is in CoLABS.
- Camelyon17K:
./camelyon17k_demo.ipynb.
@article{ktena2023generative,
title={Generative models improve fairness of medical classifiers under distribution shifts},
author={Ktena, Ira* and Wiles, Olivia* and Albuquerque, Isabela and Rebuffi, Sylvestre-Alvise and Tanno, Ryutaro and Roy, Abhijit Guha and Azizi, Shekoofeh and Belgrave, Danielle and Kohli, Pushmeet and Karthikesalingam, Alan and Cemgil, Taylan and Gowal, Sven},
journal={arXiv preprint arXiv:2304.09218},
year={2023}
}Copyright 2024 DeepMind Technologies Limited
All software is licensed under the Apache License, Version 2.0 (Apache 2.0); you may not use this file except in compliance with the Apache 2.0 license. You may obtain a copy of the Apache 2.0 license at: https://www.apache.org/licenses/LICENSE-2.0
All other materials are licensed under the Creative Commons Attribution 4.0 International License (CC-BY). You may obtain a copy of the CC-BY license at: https://creativecommons.org/licenses/by/4.0/legalcode
Unless required by applicable law or agreed to in writing, all software and materials distributed here under the Apache 2.0 or CC-BY licenses are distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the licenses for the specific language governing permissions and limitations under those licenses.
This is not an official Google product.