Classifying Retinal Degeneration in Histological Sections Using Deep Learning.

Journal: Translational vision science & technology
Published Date: Jun 1, 2021

Abstract

PURPOSE: Artificial intelligence (AI) techniques are increasingly being used to classify retinal diseases. In this study we investigated the ability of a convolutional neural network (CNN) in categorizing histological images into different classes of retinal degeneration.

Authors

  • Daniel Al Mouiee
    Graduate School of Biomedical Engineering, University of New South Wales, Kensington, NSW, Australia.
  • Erik Meijering
    Biomedical Imaging Group Rotterdam, Departments of Medical Informatics and Radiology, Erasmus University Medical Center, Rotterdam, the Netherlands.
  • Michael Kalloniatis
    Centre for Eye Health, and School of Optometry and Vision Science, The University of New South Wales, Kensington, Australia.
  • Lisa Nivison-Smith
    School of Optometry and Vision Sciences, University of New South Wales, Kensington, NSW, Australia.
  • Richard A Williams
    Department of Pathology, University of Melbourne, Parkville, VIC, Australia.
  • David A X Nayagam
    Department of Pathology, University of Melbourne, Parkville, VIC, Australia.
  • Thomas C Spencer
    The Bionics Institute of Australia, East Melbourne, VIC, Australia.
  • Chi D Luu
    Ophthalmology, Department of Surgery, University of Melbourne, Parkville, VIC, Australia.
  • Ceara McGowan
    The Bionics Institute of Australia, East Melbourne, VIC, Australia.
  • Stephanie B Epp
    The Bionics Institute of Australia, East Melbourne, VIC, Australia.
  • Mohit N Shivdasani
    Graduate School of Biomedical Engineering, University of New South Wales, Kensington, NSW, Australia.

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