Histopathological bladder cancer gene mutation prediction with hierarchical deep multiple-instance learning.

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作者： Rui,Yan ^[1] ; Yijun,Shen ^[2] ; Xueyuan,Zhang ^[3] ; Peihang,Xu ^[2] ; Jun,Wang ^[4] ; Jintao,Li ^[5] ; Fei,Ren ^[6] ; Dingwei,Ye ^[7] ; S Kevin,Zhou ^[8]

作者单位： Institute of Computing Technology, Chinese Academy of Sciences, Beijing, 100190, China; University of Chinese Academy of Sciences, Beijing, 100049, China. ^[1] Department of Urology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China. ^[2] Zhijian Life Technology Co., Ltd., Beijing, 100036, China. ^[3] Department of Urology, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China. ^[4] Institute of Computing Technology, Chinese Academy of Sciences, Beijing, 100190, China. ^[5] Institute of Computing Technology, Chinese Academy of Sciences, Beijing, 100190, China; SKLP, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, 100190, China. Electronic address: renfei@ict.ac.cn. ^[6] Department of Urology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China. Electronic address: dwyeli@163.com. ^[7] Institute of Computing Technology, Chinese Academy of Sciences, Beijing, 100190, China; School of Biomedical Engineering & Suzhou Institute for Advanced Research, University of Science and Technology of China, Suzhou, 215123, China. Electronic address: skevinzhou@ustc.edu.cn. ^[8]

关键词 Bladder cancer Contrastive learning Gene mutation prediction Histopathological image analysis Multiple instance learning

主题词人类(Humans);膀胱(Urinary Bladder);膀胱肿瘤(Urinary Bladder Neoplasms);突变(Mutation)

DOI 10.1016/j.media.2023.102824

PMID 37126973

发布时间 2023-06-08

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