Deep Learning-Based Algorithms in Screening of Diabetic Retinopathy: A Systematic Review of Diagnostic Performance.

Journal: Ophthalmology. Retina
Published Date: Nov 3, 2018

Abstract

TOPIC: Diagnostic performance of deep learning-based algorithms in screening patients with diabetes for diabetic retinopathy (DR). The algorithms were compared with the current gold standard of classification by human specialists.

Authors

  • Katrine B Nielsen
    Department of Ophthalmology, Odense University Hospital, Odense, Denmark; Research Unit of Ophthalmology, Department of Clinical Research, Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark.
  • Mie L Lautrup
    Department of Ophthalmology, Odense University Hospital, Odense, Denmark; Research Unit of Ophthalmology, Department of Clinical Research, Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark.
  • Jakob K H Andersen
    Steno Diabetes Center Odense, Odense, Denmark; SDU Robotics, The Mærsk Mc-Kinney Møller Institute, University of Southern Denmark, Odense, Denmark.
  • Thiusius R Savarimuthu
    SDU Robotics, The Mærsk Mc-Kinney Møller Institute, University of Southern Denmark, Odense, Denmark.
  • Jakob Grauslund
    Department of Ophthalmology, Odense University Hospital, Odense, Denmark; Research Unit of Ophthalmology, Department of Clinical Research, Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark; Steno Diabetes Center Odense, Odense, Denmark. Electronic address: jakob.grauslund@rsyd.dk.

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