OptTTA: Learnable Test-Time Augmentation for Source-Free Medical Image Segmentation Under Domain Shift

This repository contains the Pytorch implementation of the proposed method OptTTA: Learnable Test-Time Augmentation for Source-Free Medical Image Segmentation Under Domain Shift, which has been accepted at MIDL 2022.

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Citation

If you find this work useful, please cite the paper:

@inproceedings{tomar2021opttta,
  title={OptTTA: Learnable Test-Time Augmentation for Source-Free Medical Image Segmentation Under Domain Shift},
  author={Tomar, Devavrat and Vray, Guillaume and Thiran, Jean-Philippe and Bozorgtabar, Behzad},
  booktitle={Medical Imaging with Deep Learning (MIDL)},
  year={2022}
}

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Licence

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.