A radiomics-based interpretable machine learning model to predict the HER2 status in bladder cancer: a multicenter study.

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第一作者： Zongjie,Wei

第一单位： Department of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.

作者： Zongjie,Wei ^[1] ; Xuesong,Bai ^[1] ; Yingjie,Xv ^[1] ; Shao-Hao,Chen ^[2] ; Siwen,Yin ^[3] ; Yang,Li ^[4] ; Fajin,Lv ^[5] ; Mingzhao,Xiao ^[6] ; Yongpeng,Xie ^[7]

作者单位： Department of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China. ^[1] Department of Urology, Urology Research Institute, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.;Department of Urology, National Region Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China. ^[2] Department of Urology, Chongqing University Fuling Hospital, Chongqing, China. ^[3] Department of Urology, Chongqing University Three Gorges Hospital, Chongqing, China. ^[4] Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China. ^[5] Department of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China. mingzhaoxiao@cqmu.edu.cn. ^[6] Department of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China. xieyongpeng@cqmu.edu.cn. ^[7]

关键词 Bladder cancer Computed tomography HER2 Machine learning Radiomics

DOI 10.1186/s13244-024-01840-3

PMID 39466475

发布时间 2024-10-31

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