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M4: Multi-proxy multi-gate mixture of experts network for multiple instance learning in histopathology image analysis.

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第一作者: Junyu,Li
第一单位: Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, 310022, China. Electronic address: lijunyu1019@gmail.com.
作者: Junyu,Li [1] ; Ye,Zhang [2] ; Wen,Shu [3] ; Xiaobing,Feng [3] ; Yingchun,Wang [4] ; Pengju,Yan [5] ; Xiaolin,Li [5] ; Chulin,Sha [6] ; Min,He [7]
作者单位: Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, 310022, China. Electronic address: lijunyu1019@gmail.com. [1] Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, 310022, China; Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, 310024, China. Electronic address: zhangye22@mails.ucas.ac.cn. [2] Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, 310022, China; College of Electrical and Information Engineering, Hunan University, Changsha, 410082, China. [3] Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, 310022, China; Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, 310024, China. [4] Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, 310022, China. [5] Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, 310022, China. Electronic address: shachulin@him.cas.cn. [6] Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou, 310022, China; Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Hangzhou, 310024, China; College of Electrical and Information Engineering, Hunan University, Changsha, 410082, China. Electronic address: hemin607@163.com. [7]
DOI 10.1016/j.media.2025.103561
PMID 40198973
发布时间 2025-05-30
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