Identifying Mouse Autoimmune Uveitis from Fundus Photographs Using Deep Learning.

Journal: Translational vision science & technology
Published Date: Dec 2, 2020

Abstract

PURPOSE: To develop a deep learning model for objective evaluation of experimental autoimmune uveitis (EAU), the animal model of posterior uveitis that reveals its essential pathological features via fundus photographs.

Authors

  • Jian Sun
    Department Of Computer Science, University of Denver, 2155 E Wesley Ave, Denver, Colorado, 80210, United States of America.
  • Xiaoqin Huang
    The Pennsylvania State University Great Valley, Malvern, PA, USA.
  • Charles Egwuagu
    Molecular Immunology Section, Laboratory of Immunology, National Eye Institute, National Institutes of Health, Bethesda, MD, USA.
  • Youakim Badr
    The Big Data Lab, Division of Engineering and Information Science, The Pennsylvania State University, Great Valley, Malvern, PA, 19355, USA. Electronic address: yzb61@psu.edu.
  • Stephen Charles Dryden
    University of Tennessee Health Science Center, Memphis, TN, USA.
  • Brian Thomas Fowler
    University of Tennessee Health Science Center, Memphis, TN, USA.
  • Siamak Yousefi
    Department of Ophthalmology, University of Tennessee Health Science Center, Memphis, Tennessee, United States of America.

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