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Spatial-Frequency Dual Domain Attention Network For Medical Image Segmentation

Official implementation of the BIBM 2024 paper "Spatial-Frequency Dual Domain Attention Network For Medical Image Segmentation" SF_UNet

Citation

If you used SF_UNet in your own research, please give us a star and cite our paper below:

@INPROCEEDINGS{10822613,
  author={Zhou, Zhenhuan and He, Along and Wu, Yanlin and Yao, Rui and Xie, Xueshuo and Li, Tao},
  booktitle={2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)}, 
  title={Spatial-Frequency Dual Domain Attention Network For Medical Image Segmentation}, 
  year={2024},
  volume={},
  number={},
  pages={4076-4081},
  keywords={Representation learning;Deep learning;Image segmentation;Accuracy;Codes;Shape;Frequency-domain analysis;Feature extraction;Lesions;Biomedical imaging;Medical Image Segmentation;Multi-scale Feature;Frequency Domain Attention;CNN;Deep Learning},
  doi={10.1109/BIBM62325.2024.10822613}}

Acknowledgment

Code can only be used for ACADEMIC PURPOSES. NO COMERCIAL USE is allowed. Copyright © College of Computer Science, Nankai University. All rights reserved.

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