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J-GLOBAL ID：201902276314484022   Reference number：19A2668217

Mixed-Supervised Dual-Network for Medical Image Segmentation

医用画像セグメンテーションのための混合監視二重ネットワーク【JST・京大機械翻訳】

Author (10)： Wang Duo (Department of Automation, Tsinghua University, Beijing, China) ,  Wang Duo (Department of Radiology, Brigham and Women’s Hospital, Boston, USA) ,  Li Ming (Department of Radiology and Radiation Oncology, Huadong Hospital affiliated to Fudan University, Shanghai, China) ,  Ben-Shlomo Nir (Department of Surgery, Brigham and Women’s Hospital, Boston, USA) ,  Corrales C. Eduardo (Department of Surgery, Brigham and Women’s Hospital, Boston, USA) ,  Corrales C. Eduardo (Harvard Medical School, Boston, USA) ,  Cheng Yu (Microsoft AI & Research, Redmond, WA, USA) ,  Zhang Tao (Department of Automation, Tsinghua University, Beijing, China) ,  Jayender Jagadeesan (Department of Radiology, Brigham and Women’s Hospital, Boston, USA) ,  Jayender Jagadeesan (Harvard Medical School, Boston, USA)
Material： Lecture Notes in Computer Science  (LNBI)
Volume： 11765  Page： 192-200  Publication year： 2019 
JST Material Number： H0078D  ISSN： 0302-9743  Document type： Proceedings
Article type： 原著論文  Country of issue： Germany, Federal Republic of (DEU)  Language： ENGLISH (EN)

Abstract/Point： Deep learning based medical im...

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Thesaurus term： *segmentation ,  *network ,  supervised learning ,  base line ,  computer architecture ,  dense ,  high quality ,  *medical image segmentation
Semi thesaurus term： マルチタスク学習 , 【Automatic Indexing@JST】

Author keywords (5)： Mixed-supervised learning ,  Dual-network ,  Multi-task learning ,  Squeeze-and-Excitation ,  Medical image segmentation

JST classification (2)： Pattern recognition  (JE07000S) ,  Graphic and image processing in general  (JE04010I)

Terms in the title (1)： 医用画像セグメンテーション