Automated detection of severe diabetic retinopathy using deep learning method.

Journal: Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie
Published Date: Sep 30, 2021

Abstract

PURPOSE: The purpose of this study is to develop and validate the intelligent diagnosis of severe DR with lesion recognition based on color fundus photography.

Authors

  • Xiao Zhang
    Merck & Co., Inc., Rahway, NJ, USA.
  • Fan Li
    Department of Instrument Science and Engineering, School of SEIEE, Shanghai Jiao Tong University, Shanghai 200240, China.
  • Donghong Li
    Vistel AI Lab, Visionary Intelligence Ltd, Beijing, China.
  • Qijie Wei
    Vistel AI Lab, Visionary Intelligence Ltd., Beijing, China.
  • Xiaoxu Han
    Department of Ophthalmology, Union Medical College Hospital, Chinese Academy of Medical Sciences, PekingBeijing, China.
  • Bilei Zhang
    Department of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
  • Huan Chen
    Beijing Guangqumen Middle School, Beijing, 100062, China.
  • Yongpeng Zhang
    Beijing Key Laboratory of Ophthalmology and Visual Science, Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
  • Bin Mo
    Beijing Key Laboratory of Ophthalmology and Visual Science, Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
  • Bojie Hu
    Department of Ophthalmology, Tianjin Medical University Eye Hospital, Tianjin, China.
  • Dayong Ding
    Vistel AI Lab, Visionary Intelligence Ltd, Beijing, China.
  • Xirong Li
    Key Lab of DEKE, Renmin University of China, Beijing, 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.
  • 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.

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