Predicting Glaucoma before Onset Using Deep Learning.

Journal: Ophthalmology. Glaucoma
Published Date: Apr 29, 2020

Abstract

PURPOSE: To assess the accuracy of deep learning models to predict glaucoma development from fundus photographs several years before disease onset.

Authors

  • Anshul Thakur
    School of Computing and Electrical Engineering, Indian Institute of Technology Mandi, Mandi, Himachal Pradesh, India; Department of Ophthalmology, University of Tennessee Health Science Center, Memphis, Tennessee.
  • Michael Goldbaum
    Shiley Eye Institute, Institute for Engineering in Medicine, Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA 92093, USA.
  • Siamak Yousefi
    Department of Ophthalmology, University of Tennessee Health Science Center, Memphis, Tennessee, United States of America.

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