Detection of Diabetic Retinopathy from Ultra-Widefield Scanning Laser Ophthalmoscope Images: A Multicenter Deep Learning Analysis.

Journal: Ophthalmology. Retina
Published Date:

Abstract

PURPOSE: To develop a deep learning (DL) system that can detect referable diabetic retinopathy (RDR) and vision-threatening diabetic retinopathy (VTDR) from images obtained on ultra-widefield scanning laser ophthalmoscope (UWF-SLO).

Authors

  • Fangyao Tang
  • Phoomraphee Luenam
    Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong, China.
  • An Ran Ran
    Department of Ophthalmology and Visual Sciences, Chinese University of Hong Kong, Hong Kong Special Administrative Region, China.
  • Ahmed Abdul Quadeer
    Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong, China.
  • Rajiv Raman
    Shri Bhagwan Mahavir Vitreoretinal Services, Sankara Nethralaya, Chennai, Tamil Nadu, India.
  • Piyali Sen
    Moorfields Eye Hospital, London, United Kingdom.
  • Rehana Khan
    Shri Bhagwan Mahavir Vitreoretinal Services, Sankara Nethralaya, Chennai, India.
  • Anantharaman Giridhar
    Giridhar Eye Institute, Cochin, India.
  • Swathy Haridas
    Giridhar Eye Institute, Cochin, India.
  • Matias Iglicki
    Private Retina Practice, University of Buenos Aires, Buenos Aires, Argentina; Tel Aviv Medical Center, Tel Aviv, Israel; Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
  • Dinah Zur
    Tel Aviv Medical Center, Tel Aviv, Israel; Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
  • Anat Loewenstein
    Department of Ophthalmology, Tel Aviv Medical Centre, Israel.
  • Hermino P Negri
    Diagnostic Ophthalmology Centre, Buenos Aires, Argentina.
  • Simon Szeto
    Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong, China; Hong Kong Eye Hospital, Hong Kong, China.
  • Bryce Ka Yau Lam
    Princess Margaret Hospital, Hong Kong, China.
  • Clement C Tham
    Department of Ophthalmology and Visual Sciences, Chinese University of Hong Kong, Hong Kong Special Administrative Region, China; Hong Kong Eye Hospital, Hong Kong Special Administrative Region, China; Prince of Wales Hospital, Hong Kong Special Administrative Region, China.
  • Sobha Sivaprasad
    Moorfields Eye Hospital City Road Campus, London, UK.
  • Matthew Mckay
    Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong, China.
  • Carol Y Cheung
    Department of Ophthalmology and Visual Sciences, Chinese University of Hong Kong, Hong Kong Special Administrative Region, China. Electronic address: carolcheung@cuhk.edu.hk.