Deep learning-based classification of retinal vascular diseases using ultra-widefield colour fundus photographs.

Journal: BMJ open ophthalmology
Published Date: Feb 4, 2022

Abstract

OBJECTIVE: To assess the ability of a deep learning model to distinguish between diabetic retinopathy (DR), sickle cell retinopathy (SCR), retinal vein occlusions (RVOs) and healthy eyes using ultra-widefield colour fundus photography (UWF-CFP).

Authors

  • Elie Abitbol
    Department of Ophthalmology, Centre Hospitalier Intercommunal de Créteil, Creteil, France.
  • Alexandra Miere
    Department of Ophthalmology, Centre Hospitalier Intercommunal de Créteil, Créteil, France; Laboratory of Images, Signals and Intelligent Systems (LISSI), (EA N° 3956), University Paris-Est, Créteil, France. Electronic address: alexandra.miere@chicreteil.fr.
  • Jean-Baptiste Excoffier
    Kaduceo, Toulouse, France.
  • Carl-Joe Mehanna
    Department of Ophthalmology, Centre Hospitalier Intercommunal de Créteil, Creteil, France.
  • Francesca Amoroso
    Department of Ophthalmology, Centre Hospitalier Intercommunal de Créteil, Creteil, France.
  • Samuel Kerr
    Kaduceo SAS, Toulouse, France.
  • Matthieu Ortala
    Kaduceo, Toulouse, France.
  • Eric H Souied
    Department of Ophthalmology, Hôpital Intercommunal de Créteil, Université, Creteil, France.

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