Validation and Clinical Applicability of Whole-Volume Automated Segmentation of Optical Coherence Tomography in Retinal Disease Using Deep Learning.

Journal: JAMA ophthalmology
Published Date: Sep 1, 2021

Abstract

IMPORTANCE: Quantitative volumetric measures of retinal disease in optical coherence tomography (OCT) scans are infeasible to perform owing to the time required for manual grading. Expert-level deep learning systems for automatic OCT segmentation have recently been developed. However, the potential clinical applicability of these systems is largely unknown.

Authors

  • Marc Wilson
    Google Health, London, UK.
  • Reena Chopra
    NIHR Biomedical Research Centre for Ophthalmology, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom.
  • Megan Z Wilson
    Google Health, London, United Kingdom.
  • Charlotte Cooper
    Google Health, London, United Kingdom.
  • Patricia MacWilliams
    Google Health, London, United Kingdom.
  • Yun Liu
    Google Health, Palo Alto, CA USA.
  • Ellery Wulczyn
    Google Health, Palo Alto, CA USA.
  • Daniela Florea
    National Institute for Health Research Biomedical Research Centre for Ophthalmology, Moorfields Eye Hospital NHS (National Health Service) Foundation Trust, London, United Kingdom.
  • Cian O Hughes
    DeepMind, London, EC4A 3TW, UK.
  • Alan Karthikesalingam
    Department of Outcomes Research, St George's Vascular Institute, London, SW17 0QT, United Kingdom.
  • Hagar Khalid
    National Institute for Health Research Biomedical Research Centre for Ophthalmology, Moorfields Eye Hospital NHS (National Health Service) Foundation Trust, London, United Kingdom.
  • Sandra Vermeirsch
    National Institute for Health Research Biomedical Research Centre for Ophthalmology, Moorfields Eye Hospital NHS (National Health Service) Foundation Trust, London, United Kingdom.
  • Luke Nicholson
    National Institute for Health Research Biomedical Research Centre for Ophthalmology, Moorfields Eye Hospital NHS (National Health Service) Foundation Trust, London, United Kingdom.
  • Pearse A Keane
    National Institute for Health Research Biomedical Research Centre for Ophthalmology, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, UK.
  • Konstantinos Balaskas
    School of Pharmacy and Optometry, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, United Kingdom; Manchester Royal Eye Hospital, NHS Central Manchester University Hospitals, Manchester, United Kingdom.
  • Christopher J Kelly
    Google Health, London, UK. cjkelly@google.com.

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