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Artificial intelligence for histological subtype classification of breast cancer: combining multi-scale feature maps and the recurrent attention model.
Li, Junjie; Mi, Weiming; Guo, Yucheng; Ren, Xinyu; Fu, Hao; Zhang, Tao; Zou, Hao; Liang, Zhiyong.
Affiliation
  • Li J; Department of Pathology, State Key Laboratory of Complex Severe and Rare Diseases, Molecular Pathology Research Centre, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
  • Mi W; Department of Automation, School of Information Science and Technology, Tsinghua University, Beijing, China.
  • Guo Y; Tsimage Medical Technology, Yihai Centre, Yantian District, Shenzhen, China.
  • Ren X; Centre for Intelligent Medical Imaging & Health, Research Institute of Tsinghua University in Shenzhen, Shenzhen, PR China.
  • Fu H; Department of Pathology, State Key Laboratory of Complex Severe and Rare Diseases, Molecular Pathology Research Centre, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
  • Zhang T; Tsimage Medical Technology, Yihai Centre, Yantian District, Shenzhen, China.
  • Zou H; Department of Automation, School of Information Science and Technology, Tsinghua University, Beijing, China.
  • Liang Z; Tsimage Medical Technology, Yihai Centre, Yantian District, Shenzhen, China.
Histopathology ; 80(5): 836-846, 2022 Apr.
Article in En | MEDLINE | ID: mdl-34951728
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms / Deep Learning Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans Language: En Journal: Histopathology Year: 2022 Type: Article Affiliation country: China
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms / Deep Learning Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans Language: En Journal: Histopathology Year: 2022 Type: Article Affiliation country: China