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IL-MCAM: An interactive learning and multi-channel attention mechanism-based weakly supervised colorectal histopathology image classification approach.
Chen, Haoyuan; Li, Chen; Li, Xiaoyan; Rahaman, Md Mamunur; Hu, Weiming; Li, Yixin; Liu, Wanli; Sun, Changhao; Sun, Hongzan; Huang, Xinyu; Grzegorzek, Marcin.
Afiliación
  • Chen H; Microscopic Image and Medical Image Analysis Group, College of Medicine and Biological Information Engineering, Northeastern University, China.
  • Li C; Microscopic Image and Medical Image Analysis Group, College of Medicine and Biological Information Engineering, Northeastern University, China. Electronic address: lichen@bmie.neu.edu.cn.
  • Li X; Department of Pathology, Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute, China. Electronic address: lixiaoyan@cancerhosp-ln-cmu.com.
  • Rahaman MM; Microscopic Image and Medical Image Analysis Group, College of Medicine and Biological Information Engineering, Northeastern University, China.
  • Hu W; Microscopic Image and Medical Image Analysis Group, College of Medicine and Biological Information Engineering, Northeastern University, China.
  • Li Y; Microscopic Image and Medical Image Analysis Group, College of Medicine and Biological Information Engineering, Northeastern University, China.
  • Liu W; Microscopic Image and Medical Image Analysis Group, College of Medicine and Biological Information Engineering, Northeastern University, China.
  • Sun C; Microscopic Image and Medical Image Analysis Group, College of Medicine and Biological Information Engineering, Northeastern University, China; Shenyang Institute of Automation, Chinese Academy of Sciences, China.
  • Sun H; Department of Radiology, Shengjing Hospital of China Medical University, China.
  • Huang X; Institute of Medical Informatics, University of Luebeck, Germany.
  • Grzegorzek M; Institute of Medical Informatics, University of Luebeck, Germany.
Comput Biol Med ; 143: 105265, 2022 Apr.
Article en En | MEDLINE | ID: mdl-35123138
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Comput Biol Med Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Comput Biol Med Año: 2022 Tipo del documento: Article País de afiliación: China Pais de publicación: Estados Unidos