Hierarchical combinatorial deep learning architecture for pancreas segmentation of medical computed tomography cancer images.

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第一作者： Min,Fu

第一单位： Mathematics Department, School of Information, Renmin University of China, Beijing, China.

作者： Min,Fu ^[1] ; Wenming,Wu ^[2] ; Xiafei,Hong ^[3] ; Qiuhua,Liu ^[3] ; Jialin,Jiang ^[1] ; Yaobin,Ou ^[2] ; Yupei,Zhao ^[3] ; Xinqi,Gong ^[4]

作者单位： Mathematics Department, School of Information, Renmin University of China, Beijing, China. ^[1] Mathematical Intelligence Application Lab, Institute for Mathematical Sciences, Renmin University of China, Beijing, China. ^[2] Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. ^[3] Mathematics Department, School of Information, Renmin University of China, Beijing, China. ou@ruc.edu.cn. ^[4] Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. zhao8028@263.net. ^[5] Mathematical Intelligence Application Lab, Institute for Mathematical Sciences, Renmin University of China, Beijing, China. xinqigong@ruc.edu.cn. ^[6]

关键词 Multi-layer up-sampling structure Pancreas segmentation Single object segmentation

主题词病例对照研究(Case-Control Studies);人类(Humans);图像处理, 计算机辅助(Image Processing, Computer-Assisted);胰腺(Pancreas);胰腺肿瘤(Pancreatic Neoplasms);体层摄影术, X线计算机(Tomography, X-Ray Computed)

DOI 10.1186/s12918-018-0572-z

PMID 29745840

发布时间 2024-03-18

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准确一般字义偏差语意偏离译文作用小提交