Artificial intelligence for histological subtype classification of breast cancer: combining multi-scale feature maps and the recurrent attention model.

Abstract

Authors

• Junjie Li
  Department of Emergency, Xijing Hospital, Fourth Military Medical University, No. 127 West Changle Road, Xi'an, China.
• Weiming Mi
  Department of Automation, School of Information Science and Technology, Tsinghua University, Beijing, China.
• Yucheng Guo
  Qingdao Jimo District Administration Examination and Approval Service Bureau of Shandong Province, Qingdao, Shandong 266200, China.
• Xinyu Ren
  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.
• Hao Fu
  Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, P. R. China.
• Tao Zhang
  Department of Traumatology, Chongqing Emergency Medical Center, Chongqing University Central Hospital, School of Medicine, Chongqing University, Chongqing, 40044, People's Republic of China.
• Hao Zou
  Tsimage Medical Technology, Yihai Centre, Yantian District, Shenzhen, China.
• Zhiyong Liang
  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.

Keywords

External Resources