Development and evaluation of a deep learning model for the detection of multiple fundus diseases based on colour fundus photography.

Journal: The British journal of ophthalmology
Published Date:

Abstract

AIM: To explore and evaluate an appropriate deep learning system (DLS) for the detection of 12 major fundus diseases using colour fundus photography.

Authors

  • Bing Li
  • Huan Chen
    Beijing Guangqumen Middle School, Beijing, 100062, China.
  • Bilei Zhang
    Department of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
  • Mingzhen Yuan
    Department of Ophthalmology, Beijing Institute of Ophthalmology, Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
  • Xuemin Jin
    Department of Ophthalmology, Zhengzhou University First Affiliated Hospital, Zhengzhou, Henan, China.
  • Bo Lei
    Lawrence Livermore National Laboratory, Livermore, CA, United States.
  • Jie Xu
    Second Affiliated Hospital Zhejiang University School of Medicine, Hangzhou, Zhejiang Province 310000, China.
  • Wei Gu
    Department of Ophthalmology, Beijing Aier Intech Eye Hospital, Beijing, China.
  • David Chuen Soong Wong
    University of Cambridge School of Clinical Medicine, Cambridge, Cambridgeshire, UK.
  • Xixi He
    Vistel AI Lab, Visionary Intelligence Ltd, Beijing, China.
  • Hao Wang
    Department of Cardiology, Second Medical Center, Chinese PLA General Hospital, Beijing, China.
  • Dayong Ding
    Vistel AI Lab, Visionary Intelligence Ltd, Beijing, China.
  • Xirong Li
    Key Lab of DEKE, Renmin University of China, Beijing, China.
  • Youxin Chen
    Department of Ophthalmology Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences Beijing People's Republic of China.
  • Weihong Yu
    Department of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China yuweihongpumch@163.com.