Fully automated grading system for the evaluation of punctate epithelial erosions using deep neural networks.

Journal: The British journal of ophthalmology
Published Date: Apr 1, 2023

Abstract

PURPOSE: The goal was to develop a fully automated grading system for the evaluation of punctate epithelial erosions (PEEs) using deep neural networks.

Authors

  • Jing-Hao Qu
    Department of Ophthalmology, Peking University Third Hospital, Beijing, China.
  • Xiao-Ran Qin
    Research Center for Brain-inspired Intelligence, Institute of Automation, Chinese Academy of Sciences, Beijing, China.
  • Chen-Di Li
    Department of Ophthalmology, Peking University Third Hospital, Beijing, China.
  • Rong-Mei Peng
    Department of Ophthalmology, Peking University Third Hospital, Beijing, China.
  • Ge-Ge Xiao
    Department of Ophthalmology, Peking University Third Hospital, Beijing, China.
  • Jian Cheng
  • Shao-Feng Gu
    Department of Ophthalmology, Peking University Third Hospital, Beijing, China.
  • Hai-Kun Wang
    School of Artificial Intelligence, Chongqing University of Technology, Chongqing 40400, China.
  • Jing Hong
    Department of Ophthalmology, Peking University Third Hospital, Beijing, China hongjing196401@163.com.

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