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[BIBM 2024] SMAFormer: Synergistic Multi-Attention Transformer for Medical Image Segmentation

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📋SMAFormer

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)

💗 Acknowledgement

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.

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