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FAT-Net: Feature Adaptive Transformers for Automated Skin Lesion Segmentation

This is the official repo for the paper FAT-Net: Feature Adaptive Transformers for Automated Skin Lesion Segmentation, accepted at Medical Image Analysis.

Experiments

• CUDA/CUDNN
• torch >=1.7.0

Citing FAT-Net

If you find FAT-Net useful, please cite our paper.

@article{wu2022fat,
  title={FAT-Net: Feature adaptive transformers for automated skin lesion segmentation},
  author={Wu, Huisi and Chen, Shihuai and Chen, Guilian and Wang, Wei and Lei, Baiying and Wen, Zhenkun},
  journal={Medical Image Analysis},
  volume={76},
  pages={102327},
  year={2022},
  publisher={Elsevier}
}