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首页> Korean journal of radiology> A Three-Dimensional Deep Convolutional Neural Network for Automatic Segmentation and Diameter Measurement of Type B Aortic Dissection.

A Three-Dimensional Deep Convolutional Neural Network for Automatic Segmentation and Diameter Measurement of Type B Aortic Dissection.

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第一作者： Yitong,Yu

第一单位： Department of Radiology, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences; State Key Lab and National Center for Cardiovascular Diseases, Beijng, China.

作者： Yitong,Yu ^[1] ; Yang,Gao ^[1] ; Jianyong,Wei ^[2] ; Fangzhou,Liao ^[3] ; Qianjiang,Xiao ^[2] ; Jie,Zhang ^[1] ; Weihua,Yin ^[1] ; Bin,Lu ^[4]

作者单位： Department of Radiology, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences; State Key Lab and National Center for Cardiovascular Diseases, Beijng, China. ^[1] ShuKun (BeiJing) Technology Co., Ltd., Beijing, China. ^[2] Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China. ^[3] Department of Radiology, Fuwai Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences; State Key Lab and National Center for Cardiovascular Diseases, Beijng, China. blu@vip.sina.com. ^[4]

关键词 Aortic dissection Deep learning Tomography, X-ray computed

主题词成年人(Adult);主动脉(Aorta);人体质量指数(Body Mass Index);女(雌)性(Female);人类(Humans);成像, 三维(Imaging, Three-Dimensional);男(雄)性(Male);中年人(Middle Aged);回顾性研究(Retrospective Studies)

DOI 10.3348/kjr.2020.0313

PMID 33236538

发布时间 2022-12-07

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Korean journal of radiology

Korean journal of radiology

2021年22卷2期

168-178页

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