Art

J-GLOBAL ID：202002237590646339   Reference number：20A0707689

Classification of pathological types of lung cancer from CT images by deep residual neural networks with transfer learning strategy

転移学習戦略を用いた深部残留神経回路網によるCT画像からの肺癌の病理学的タイプの分類【JST・京大機械翻訳】

Author (6)： Wang Shudong (College of Computer and Communication Engineering, China University of Petroleum, Qingdao 266580, Shandong, China) ,  Wang Shudong (School of Electrical Engineering and Automation, Tiangong University, Tianjin 300387, China) ,  Dong Liyuan (College of Computer and Communication Engineering, China University of Petroleum, Qingdao 266580, Shandong, China) ,  Wang Xun (College of Computer and Communication Engineering, China University of Petroleum, Qingdao 266580, Shandong, China) ,  Wang Xun (School of Electrical Engineering and Automation, Tiangong University, Tianjin 300387, China) ,  Wang Xingguang (Department of Respiratory Medicine, Shandong Provincial Hospital Affiliated to Shandong University, Jinan 250021, Shandong, China)
Material： Open Medicine (Web)
Volume： 15  Issue： 1  Page： 190-197  Publication year： 2020 
JST Material Number： U8100A  ISSN： 2391-5463  Document type： Article
Article type： 原著論文  Country of issue： Germany, Federal Republic of (DEU)  Language： ENGLISH (EN)

Abstract/Point： Abstract: Lung cancer is one o...

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Thesaurus term： histological diagnosis ,  *lung tumor ,  *learning ,  *neural network(network)
Semi thesaurus term： 悪性腫瘍 ,  *CT画像 ,  *転移学習 , 【Automatic Indexing@JST】

Author keywords (5)： Pathological type ,  Lung cancer ,  Residual neural network ,  Transfer learning ,  CT images

JST classification (1)： Medical image processing  (JE04020T)

Terms in the title (9)： 学習戦略 ,  深部 ,  残留 ,  神経回路網 ,  CT画像 ,  肺癌 ,  病理学 ,  タイプ ,  分類