Global contextual representation via graph-transformer fusion for hepatocellular carcinoma prognosis in whole-slide images.

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作者： Luyu,Tang ^[1] ; Songhui,Diao ^[1] ; Chao,Li ^[2] ; Miaoxia,He ^[3] ; Kun,Ru ^[4] ; Wenjian,Qin ^[5]

作者单位： Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China; Shenzhen College of Advanced Technology, University of Chinese Academy of Sciences, Shenzhen 518055, China. ^[1] Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, UK; School of Medicine, University of Dundee, Scotland, UK. ^[2] Department of Pathology, Changhai Hospital, Naval Medical University, Shanghai, 200433, China. ^[3] Department of Pathology and Lab Medicine, Shandong Cancer Hospital, Jinan 250117, China. ^[4] Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China. Electronic address: wj.qin@siat.ac.cn. ^[5]

关键词 Contextual features GNN Hepatocellular carcinoma Prognosis Transformer

主题词癌, 肝细胞(Carcinoma, Hepatocellular);肝肿瘤(Liver Neoplasms);人类(Humans);预后(Prognosis);图像解释, 计算机辅助(Image Interpretation, Computer-Assisted);男(雄)性(Male);女(雌)性(Female)

DOI 10.1016/j.compmedimag.2024.102378

PMID 38640621

发布时间 2024-06-01

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