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A deep metric learning approach for histopathological image retrieval.
Yang, Pengshuai; Zhai, Yupeng; Li, Lin; Lv, Hairong; Wang, Jigang; Zhu, Chengzhan; Jiang, Rui.
Afiliação
  • Yang P; Ministry of Education Key Laboratory of Bioinformatics; Bioinformatics Division and and Center for Synthetic and Systems Biology, Beijing National Research Center for Information Science and Technology; Department of Automation, Tsinghua University, Beijing 100084, China. Electronic address: yps18@m
  • Zhai Y; Ministry of Education Key Laboratory of Bioinformatics; Bioinformatics Division and and Center for Synthetic and Systems Biology, Beijing National Research Center for Information Science and Technology; Department of Automation, Tsinghua University, Beijing 100084, China. Electronic address: dyp18@m
  • Li L; Ministry of Education Key Laboratory of Bioinformatics; Bioinformatics Division and and Center for Synthetic and Systems Biology, Beijing National Research Center for Information Science and Technology; Department of Automation, Tsinghua University, Beijing 100084, China. Electronic address: lilinda
  • Lv H; Ministry of Education Key Laboratory of Bioinformatics; Bioinformatics Division and and Center for Synthetic and Systems Biology, Beijing National Research Center for Information Science and Technology; Department of Automation, Tsinghua University, Beijing 100084, China. Electronic address: lvhairo
  • Wang J; Department of Pathology, The Affiliated Hospital of Qingdao University, Qingdao City 266000, Shandong Province, China. Electronic address: qdwangjigang@hotmail.com.
  • Zhu C; Department of Hepatobiliary and Pancreatic Surgery, The Affiliated Hospital of Qingdao University, Qingdao City 266000, Shandong Province, China. Electronic address: zhuchengz@qduhospital.cn.
  • Jiang R; Ministry of Education Key Laboratory of Bioinformatics; Bioinformatics Division and and Center for Synthetic and Systems Biology, Beijing National Research Center for Information Science and Technology; Department of Automation, Tsinghua University, Beijing 100084, China. Electronic address: ruijian
Methods ; 179: 14-25, 2020 07 01.
Article em En | MEDLINE | ID: mdl-32439386
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Patologia Clínica / Armazenamento e Recuperação da Informação / Aprendizado Profundo Limite: Humans Idioma: En Revista: Methods Assunto da revista: BIOQUIMICA Ano de publicação: 2020 Tipo de documento: Article País de publicação: Estados Unidos
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Patologia Clínica / Armazenamento e Recuperação da Informação / Aprendizado Profundo Limite: Humans Idioma: En Revista: Methods Assunto da revista: BIOQUIMICA Ano de publicação: 2020 Tipo de documento: Article País de publicação: Estados Unidos