Automated Grading of Diabetic Retinopathy with Ultra-Widefield Fluorescein Angiography and Deep Learning.

Journal: Journal of diabetes research
Published Date: Sep 8, 2021

Abstract

PURPOSE: The objective of this study was to establish diagnostic technology to automatically grade the severity of diabetic retinopathy (DR) according to the ischemic index and leakage index with ultra-widefield fluorescein angiography (UWFA) and the Early Treatment Diabetic Retinopathy Study (ETDRS) 7-standard field (7-SF).

Authors

  • Xiaoling Wang
    Shanghai Key Lab of Trustworthy Computing, East China Normal University, Shanghai, China.
  • Zexuan Ji
    School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, China.
  • Xiao Ma
    Department of Ultrasound, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
  • Ziyue Zhang
    School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China.
  • Zuohuizi Yi
    Eye Center, Renmin Hospital of Wuhan University, Wuhan, China.
  • Hongmei Zheng
    Eye Center, Renmin Hospital of Wuhan University, Wuhan, China.
  • Wen Fan
    Department of Ophthalmology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
  • Changzheng Chen
    Eye Center, Renmin Hospital of Wuhan University, Wuhan, China.

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