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A State-of-the-Art Review for Gastric Histopathology Image Analysis Approaches and Future Development.
Ai, Shiliang; Li, Chen; Li, Xiaoyan; Jiang, Tao; Grzegorzek, Marcin; Sun, Changhao; Rahaman, Md Mamunur; Zhang, Jinghua; Yao, Yudong; Li, Hong.
Afiliación
  • Ai S; Microscopic Image and Medical Image Analysis Group, College of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110169, China.
  • Li C; Microscopic Image and Medical Image Analysis Group, College of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110169, China.
  • Li X; Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute, Shenyang 110042, China.
  • Jiang T; Control Engineering College, Chengdu University of Information Technology, Chengdu 610103, China.
  • Grzegorzek M; Institute of Medical Informatics, University of Luebeck, Luebeck, Germany.
  • Sun C; Microscopic Image and Medical Image Analysis Group, College of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110169, China.
  • Rahaman MM; Institute of Medical Informatics, University of Luebeck, Luebeck, Germany.
  • Zhang J; Shenyang Institute of Automation, Chinese Academy of Sciences, 110169, China.
  • Yao Y; Microscopic Image and Medical Image Analysis Group, College of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110169, China.
  • Li H; Microscopic Image and Medical Image Analysis Group, College of Medicine and Biological Information Engineering, Northeastern University, Shenyang 110169, China.
Biomed Res Int ; 2021: 6671417, 2021.
Article en En | MEDLINE | ID: mdl-34258279
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Estómago / Procesamiento de Imagen Asistido por Computador Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Revista: Biomed Res Int Año: 2021 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos
Texto completo
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Imprimir
XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Estómago / Procesamiento de Imagen Asistido por Computador Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Revista: Biomed Res Int Año: 2021 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos