SMAFormer: Synergistic Multi-Attention Transformer for Medical Image Segmentation
Fuchen Zheng, Xuhang Chen, Weihuang Liu, Haolun Li, Yingtie Lei, Jiahui He, Chi-Man Pun 📮and Shoujun Zhou 📮( 📮 Corresponding authors)
University of Macau, SIAT CAS, Huizhou University, University of Nottingham Ningbo China
2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2024)
Note: There is a typo in our paper. We have updated the newest version in arxiv. (2025/3/27)
This work was supported in part by the National Key R&D Project of China (2018YFA0704102, 2018YFA0704104), in part by Natural Science Foundation of Guangdong Province (No. 2023A1515010673), and in part by Shenzhen Technology Innovation Commission (No. JSGG20220831110400001), in part by Shenzhen Development and Reform Commission (No. XMHT20220104009), in part by the Science and Technology Development Fund, Macau SAR, under Grant 0141/2023/RIA2 and 0193/2023/RIA3.
If you find our work helpful for your research, please cite:
@inproceedings{zheng2024smaformer,
title={Smaformer: Synergistic multi-attention transformer for medical image segmentation},
author={Zheng, Fuchen and Chen, Xuhang and Liu, Weihuang and Li, Haolun and Lei, Yingtie and He, Jiahui and Pun, Chi-Man and Zhou, Shoujun},
booktitle={2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)},
pages={4048--4053},
year={2024},
organization={IEEE}
}