Development of model for identifying homologous recombination deficiency (HRD) status of ovarian cancer with deep learning on whole slide images.

Abstract

Authors

• Ke Zhang
  Center for Radiation Oncology, Affiliated Hangzhou Cancer Hospital, Zhejiang University School of Medicine, Hangzhou 310001, China.
• Youhui Qiu
  Department of Surgery, Changting Maternity and Children's Hospital, Longyan, Fujian, China.
• Songwei Feng
  Department of Obstetrics and Gynaecology, School of Medicine, Zhongda Hospital, Southeast University, Nanjing, 210009, China.
• Han Yin
  Department of Obstetrics and Gynaecology, School of Medicine, Zhongda Hospital, Southeast University, Nanjing, 210009, China.
• Qi Liu
  National Institute of Traditional Chinese Medicine Constitution and Preventive Medicine, Beijing University of Chinese Medicine, Beijing, China.
• Yuxin Zhu
  Division of Biostatistics and Bioinformatics, Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
• Haoyu Cui
  Institute for AI in Medicine, School of Artificial Intelligence, Nanjing University of Information Science and Technology, Nanjing, China.
• Xiaoying Wei
  Department of Tuberculosis, The Fourth People's Hospital of Nanning, Nanning, China.
• Guoqing Wang
  Department of Pathogenobiology, Basic Medical College of Jilin University, Changchun, Jilin, 130012, People's Republic of China. qing@jlu.edu.cn.
• Xiangxue Wang
  lnstitute for Al in Medicine, School of Artificial lntelligence, Nanjing University of Information Science and Technology, Nanjing, China.
• Yang Shen
  Departments of Electrical and Computer Engineering & Computer Science and Engineering Texas A&M University, College Station, TX 77840.

Keywords

External Resources