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CSAM: A 2.5D Cross-Slice Attention Module for Anisotropic Volumetric Medical Image Segmentation

This is the official code implementation of our WACV paper CSAM: A 2.5D Cross-Slice Attention Module for Anisotropic Volumetric Medical Image Segmentation

This is a followup work of our previous work CAT-Net: A Cross-Slice Attention Transformer Model for Prostate Zonal Segmentation in MRI

Presentation Poster Slides

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If you use this code or the paper in your work, please cite our paper:

@inproceedings{hung2024csam,
  title={CSAM: A 2.5 D Cross-Slice Attention Module for Anisotropic Volumetric Medical Image Segmentation},
  author={Hung, Alex Ling Yu and Zheng, Haoxin and Zhao, Kai and Du, Xiaoxi and Pang, Kaifeng and Miao, Qi and Raman, Steven S and Terzopoulos, Demetri and Sung, Kyunghyun},
  booktitle={Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision},
  pages={5923--5932},
  year={2024}
}

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