Deep learning predicts resistance to neoadjuvant chemotherapy for locally advanced gastric cancer: a multicenter study.

导出原文传递

翻译打印收藏纠错

作者： Jiayi,Zhang ^[1] ; Yanfen,Cui ^[2] ; Kaikai,Wei ^[3] ; Zhenhui,Li ^[4] ; Dandan,Li ^[5] ; Ruirui,Song ^[6] ; Jialiang,Ren ^[3] ; Xin,Gao ^[3] ; Xiaotang,Yang ^[7]

作者单位： Division of Life Sciences and Medicine, School of Biomedical Engineering (Suzhou), University of Science and Technology of China, Suzhou, 215163, Jiangsu, China. ^[1] Medical Imaging Department, Suzhou Institute of Biomedical Engineering and Technology, Chinese Academy of Sciences, Suzhou, 215163, Jiangsu, China. ^[2] Department of Radiology, Shanxi Province Cancer Hospital, Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences, Cancer Hospital, Affiliated to Shanxi Medical University, Taiyuan, 030013, Shanxi, China. ^[3] Guangdong Provincial Key Laboratory of Artificial Intelligence in Medical Image Analysis and Application, Guangzhou, 510080, Guangdong, China. ^[4] Department of Radiology, The Sixth Affiliated Hospital of Sun Yat-Sen University, Guangzhou, 510655, Guangdong, China. ^[5] Department of Radiology, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Yunnan Cancer Center, Kunming, 650118, Yunnan, China. ^[6] GE Healthcare China, Beijing, 100176, China. ^[7] Department of Radiology, Shanxi Province Cancer Hospital, Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences, Cancer Hospital, Affiliated to Shanxi Medical University, Taiyuan, 030013, Shanxi, China. yangxt210@126.com. ^[8]

关键词 Deep learning Locally advanced gastric cancer Neoadjuvant chemotherapy Pre-treatment computed tomography

主题词人类(Humans);肿瘤辅助疗法(Neoadjuvant Therapy);回顾性研究(Retrospective Studies);胃肿瘤(Stomach Neoplasms);曲线下面积(Area Under Curve);肿瘤, 继发原发性(Neoplasms, Second Primary)

DOI 10.1007/s10120-022-01328-3

PMID 35932353

发布时间 2022-12-13

翻译满意度评价：

准确一般字义偏差语意偏离译文作用小提交