Deep Learning to Detect OCT-derived Diabetic Macular Edema from Color Retinal Photographs: A Multicenter Validation Study.

Journal: Ophthalmology. Retina
Published Date:

Abstract

PURPOSE: To validate the generalizability of a deep learning system (DLS) that detects diabetic macular edema (DME) from 2-dimensional color fundus photographs (CFP), for which the reference standard for retinal thickness and fluid presence is derived from 3-dimensional OCT.

Authors

  • Xinle Liu
    Google Health, Google LLC, Mountain View, California.
  • Tayyeba K Ali
    Google Health via Advanced Clinical, Deerfield, Illinois; California Pacific Medical Center, Department of Ophthalmology, San Francisco, CA.
  • Preeti Singh
    Division of Surgical Oncology, Massachusetts General Hospital and Harvard Medical School, Boston, MA.
  • Ami Shah
    Google Health via Advanced Clinical, Deerfield, Illinois.
  • Scott Mayer McKinney
    Google Health, Palo Alto, CA, USA. scottmayer@google.com.
  • Paisan Ruamviboonsuk
    Rajavithi Hospital, Bangkok, Thailand.
  • Angus W Turner
    Lions Outback Vision, Lions Eye Institute, Nedlands, Western Australia, Australia; University of Western Australia, Perth, Western Australia, Australia.
  • 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.
  • Peranut Chotcomwongse
    Vitreoretina Unit, Department of Ophthalmology, Rajavithi Hospital, Rungsit University, Bangkok, Thailand.
  • Variya Nganthavee
    Department of Ophthalmology, College of Medicine, Rangsit University, Rajavithi Hospital, Bangkok, Thailand.
  • Mark Chia
    Lions Outback Vision, Lions Eye Institute, Nedlands, Western Australia, Australia; NIHR Biomedical Research Centre for Ophthalmology, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom.
  • Josef Huemer
    Moorfields Eye Hospital, London, United Kingdom.
  • Jorge Cuadros
    EyePACS LLC, San Jose, California4School of Optometry, Vision Science Graduate Group, University of California, Berkeley.
  • Rajiv Raman
    Shri Bhagwan Mahavir Vitreoretinal Services, Sankara Nethralaya, Chennai, Tamil Nadu, India.
  • Greg S Corrado
    Google Health, Palo Alto, CA USA.
  • Lily Peng
    Google Inc, Mountain View, California.
  • Dale R Webster
    Google Inc, Mountain View, California.
  • Naama Hammel
    Google Research, Google, LLC, Mountain View, California.
  • Avinash V Varadarajan
    Google Research, Google, Mountain View, CA, USA.
  • Yun Liu
    Google Health, Palo Alto, CA USA.
  • Reena Chopra
    NIHR Biomedical Research Centre for Ophthalmology, Moorfields Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom.
  • Pinal Bavishi
    Google Health, Google, Mountain View, CA, USA.