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Annotation-efficient deep learning for automatic medical image segmentation.
Wang, Shanshan; Li, Cheng; Wang, Rongpin; Liu, Zaiyi; Wang, Meiyun; Tan, Hongna; Wu, Yaping; Liu, Xinfeng; Sun, Hui; Yang, Rui; Liu, Xin; Chen, Jie; Zhou, Huihui; Ben Ayed, Ismail; Zheng, Hairong.
Afiliação
  • Wang S; Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China. ss.wang@siat.ac.cn.
  • Li C; Peng Cheng Laboratory, Shenzhen, Guangdong, China. ss.wang@siat.ac.cn.
  • Wang R; Pazhou Laboratory, Guangzhou, Guangdong, China. ss.wang@siat.ac.cn.
  • Liu Z; Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China. cheng.li6@siat.ac.cn.
  • Wang M; Department of Medical Imaging, Guizhou Provincial People's Hospital, Guiyang, Guizhou, China.
  • Tan H; Department of Medical Imaging, Guangdong General Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China.
  • Wu Y; Department of Medical Imaging, Henan Provincial People's Hospital & the People's Hospital of Zhengzhou University, Zhengzhou, Henan, China.
  • Liu X; Department of Medical Imaging, Henan Provincial People's Hospital & the People's Hospital of Zhengzhou University, Zhengzhou, Henan, China.
  • Sun H; Department of Medical Imaging, Henan Provincial People's Hospital & the People's Hospital of Zhengzhou University, Zhengzhou, Henan, China.
  • Yang R; Department of Medical Imaging, Guizhou Provincial People's Hospital, Guiyang, Guizhou, China.
  • Liu X; Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China.
  • Chen J; Department of Urology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
  • Zhou H; Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China.
  • Ben Ayed I; Peng Cheng Laboratory, Shenzhen, Guangdong, China.
  • Zheng H; School of Electronic and Computer Engineering, Shenzhen Graduate School, Peking University, Shenzhen, Guangdong, China.
Nat Commun ; 12(1): 5915, 2021 10 08.
Article em En | MEDLINE | ID: mdl-34625565
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Neoplasias da Mama / Imageamento por Ressonância Magnética / Aprendizado Profundo Tipo de estudo: Guideline / Observational_studies Limite: Female / Humans Idioma: En Revista: Nat Commun Ano de publicação: 2021 Tipo de documento: Article
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Neoplasias da Mama / Imageamento por Ressonância Magnética / Aprendizado Profundo Tipo de estudo: Guideline / Observational_studies Limite: Female / Humans Idioma: En Revista: Nat Commun Ano de publicação: 2021 Tipo de documento: Article