Efficacy of a Deep Learning System for Detecting Glaucomatous Optic Neuropathy Based on Color Fundus Photographs.

Journal: Ophthalmology
Published Date: Mar 2, 2018

Abstract

PURPOSE: To assess the performance of a deep learning algorithm for detecting referable glaucomatous optic neuropathy (GON) based on color fundus photographs.

Authors

  • Zhixi Li
    State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, China.
  • Yifan He
    Guangzhou Healgoo Interactive Medical Technology Co. Ltd., Guangzhou, China.
  • Stuart Keel
    Centre for Eye Research Australia; Departments of Ophthalmology and Surgery, University of Melbourne, Melbourne, Australia.
  • Wei Meng
  • Robert T Chang
    Department of Ophthalmology, Byers Eye Institute, Stanford University, Palo Alto, California.
  • Mingguang He
    State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou 510060, China; Centre for Eye Research Australia; Departments of Ophthalmology and Surgery, University of Melbourne, Melbourne, Australia. Electronic address: mingguang.he@unimelb.edu.au.

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