Comparison of Deep Learning and Clinician Performance for Detecting Referable Glaucoma from Fundus Photographs in a Safety Net Population.

Journal: Ophthalmology science
Published Date:

Abstract

PURPOSE: Develop and test a deep learning (DL) algorithm for detecting referable glaucoma.

Authors

  • Van Nguyen
    Department of Ophthalmology, Keck School of Medicine, Roski Eye Institute, University of Southern California, Los Angeles, California.
  • Sreenidhi Iyengar
    Department of Computer Science, Information Sciences Institute, University of Southern California, Los Angeles, California.
  • Haroon Rasheed
    Department of Ophthalmology, Keck School of Medicine, Roski Eye Institute, University of Southern California, Los Angeles, California.
  • Galo Apolo
    Department of Ophthalmology, Keck School of Medicine, Roski Eye Institute, University of Southern California, Los Angeles, California.
  • Zhiwei Li
    Department of Instrument Science & Technology, Zhejiang University, Hangzhou, 310027, China.
  • Aniket Kumar
    Department of Computer Science, Information Sciences Institute, University of Southern California, Los Angeles, California.
  • Hong Nguyen
    Department of Computer Science, Information Sciences Institute, University of Southern California, Los Angeles, California.
  • Austin Bohner
    Department of Ophthalmology, Keck School of Medicine, Roski Eye Institute, University of Southern California, Los Angeles, California.
  • Kyle Bolo
    Department of Ophthalmology, Keck School of Medicine, Roski Eye Institute, University of Southern California, Los Angeles, California.
  • Rahul Dhodapkar
    Department of Ophthalmology, Keck School of Medicine, Roski Eye Institute, University of Southern California, Los Angeles, California.
  • Jiun Do
    Department of Ophthalmology, Los Angeles General Medical Center, Los Angeles, California.
  • Andrew T Duong
    Department of Ophthalmology, Keck School of Medicine, Roski Eye Institute, University of Southern California, Los Angeles, California.
  • Jeffrey Gluckstein
    Department of Ophthalmology, Keck School of Medicine, Roski Eye Institute, University of Southern California, Los Angeles, California.
  • Kendra Hong
    Department of Ophthalmology, Keck School of Medicine, Roski Eye Institute, University of Southern California, Los Angeles, California.
  • Lucas L Humayun
    Keck School of Medicine, University of Southern California, Los Angeles, California.
  • Alanna James
    Department of Ophthalmology, Keck School of Medicine, Roski Eye Institute, University of Southern California, Los Angeles, California.
  • Junhui Lee
    Department of Ophthalmology, Keck School of Medicine, Roski Eye Institute, University of Southern California, Los Angeles, California.
  • Kent Nguyen
    Department of Ophthalmology, Keck School of Medicine, Roski Eye Institute, University of Southern California, Los Angeles, California.
  • Brandon J Wong
    Roski Eye Institute, Department of Ophthalmology, Keck School of Medicine at the University of Southern, California.
  • José-Luis Ambite
    University of Southern California, Los Angeles, CA, USA.
  • Carl Kesselman
    USC Information Sciences Institute, University of Southern California, Los Angeles, CA, USA.
  • Lauren P Daskivich
    Ophthalmic Services and Eye Health Programs, Los Angeles County Department of Health Services, Los Angeles, CA, USA; Department of Ophthalmology, University of Southern California Keck School of Medicine/Roski Eye Institute, Los Angeles, CA USA.
  • Michael Pazzani
    Department of Computer Science, Information Sciences Institute, University of Southern California, Los Angeles, California.
  • Benjamin Y Xu
    Roski Eye Institute, Department of Ophthalmology, Keck School of Medicine at the University of Southern California, Los Angeles, California, USA. Electronic address: benjamin.xu@med.usc.edu.

Keywords

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