Policy-Driven, Multimodal Deep Learning for Predicting Visual Fields from the Optic Disc and OCT Imaging.

Journal: Ophthalmology
Published Date: Feb 21, 2022

Abstract

PURPOSE: To develop and validate a deep learning (DL) system for predicting each point on visual fields (VFs) from disc and OCT imaging and derive a structure-function mapping.

Authors

  • Yuka Kihara
    Department of Ophthalmology, University of Washington, Seattle.
  • Giovanni Montesano
    From the NIHR Biomedical Research Centre at Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology (G.L., G.M., J.M.-N., D.F.G.-H.), London, United Kingdom; Optometry and Visual Sciences, City, University of London, London, United Kingdom.
  • Andrew Chen
    University of Illinois at Urbana-Champaign, Department of Computer Science.
  • Nishani Amerasinghe
    University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom.
  • Chrysostomos Dimitriou
    Colchester Hospital, East Suffolk and North Essex NHS Foundation Trust, Colchester, United Kingdom.
  • Aby Jacob
    University Hospital Southampton NHS Foundation Trust, Southampton, United Kingdom.
  • Almira Chabi
    Santen, Emeryville, California.
  • David P Crabb
    City, University of London, Optometry and Visual Sciences, London, United Kingdom.
  • Aaron Y Lee
    Department of Ophthalmology, University of Washington, Seattle, Washington.

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