Code for our breast cancer anomaly detection paper.
utils/contains all the files to download the data and prepare patchestraining/involves the developed 3D masked autoencoder model and training scriptsinference/holds files to generate anomaly maps and subtraction images
@inproceedings{lang2023multispectral,
title={Multispectral 3d masked autoencoders for anomaly detection in non-contrast enhanced breast mri},
author={Lang, Daniel M and Schwartz, Eli and Bercea, Cosmin I and Giryes, Raja and Schnabel, Julia A},
booktitle={MICCAI Workshop on Cancer Prevention through Early Detection},
pages={55--67},
year={2023},
organization={Springer}
}