Deep learning-based detection and stage grading for optimising diagnosis of diabetic retinopathy.

Journal: Diabetes/metabolism research and reviews
Published Date:

Abstract

AIMS: To establish an automated method for identifying referable diabetic retinopathy (DR), defined as moderate nonproliferative DR and above, using deep learning-based lesion detection and stage grading.

Authors

  • Yuelin Wang
    Department of Ophthalmology Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences Beijing People's Republic of China.
  • Miao Yu
    Key Laboratory of Bioactive Substances and Resource Utilization of Chinese Herbal Medicine, Ministry of Education, China Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100193, China; School of Chinese Materia Medica, Guangdong Pharmaceutical University, Guangzhou, 510006, China; Faculty of Arts and Sciences, Beijing Normal University, Zhuhai, 519087, China.
  • Bojie Hu
    Department of Ophthalmology, Tianjin Medical University Eye Hospital, Tianjin, China.
  • Xuemin Jin
    Department of Ophthalmology, Zhengzhou University First Affiliated Hospital, Zhengzhou, Henan, China.
  • Yibin Li
    Institute of Food Science and Technology, Fujian Academy of Agricultural Sciences, Fuzhou 350003, China.
  • Xiao Zhang
    Merck & Co., Inc., Rahway, NJ, USA.
  • Yongpeng Zhang
    Beijing Key Laboratory of Ophthalmology and Visual Science, Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
  • Di Gong
    Department of Ophthalmology, China-Japan Friendship Hospital, Beijing, China.
  • Chan Wu
    Department of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
  • Bilei Zhang
    Department of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing, China.
  • Jingyuan Yang
    Department of Ophthalmology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China.
  • Bing Li
  • Mingzhen Yuan
    Department of Ophthalmology, Beijing Institute of Ophthalmology, 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.
  • Qijie Wei
    Vistel AI Lab, Visionary Intelligence Ltd., Beijing, China.
  • Jianchun Zhao
    Vistel AI Lab, Visionary Intelligence Ltd, Beijing, China.
  • Dayong Ding
    Vistel AI Lab, Visionary Intelligence Ltd, Beijing, China.
  • Jingyun Yang
    Department of Neurological Sciences, Rush Alzheimer's Disease Center, Rush University Medical Center, Chicago, Illinois, USA.
  • 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.