Screening for Diabetic Retinopathy Using an Automated Diagnostic System Based on Deep Learning: Diagnostic Accuracy Assessment.

Journal: Ophthalmologica. Journal international d'ophtalmologie. International journal of ophthalmology. Zeitschrift fur Augenheilkunde
Published Date: Oct 29, 2020

Abstract

PURPOSE: To evaluate the diagnostic accuracy of a diagnostic system software for the automated screening of diabetic retinopathy (DR) on digital colour fundus photographs, the 2019 Convolutional Neural Network (CNN) model with Inception-V3.

Authors

  • Sílvia Rêgo
    R&D Department, Fraunhofer Portugal AICOS, Porto, Portugal, silvia.s.rego@gmail.com.
  • Marco Dutra-Medeiros
    Department of Surgical Retina, Lisbon Central Hospital, Lisbon, Portugal.
  • Filipe Soares
    R&D Department, Fraunhofer Portugal AICOS, Porto, Portugal.
  • Matilde Monteiro-Soares
    CINTESIS - Centre for Health Technology and Services Research, Portugal.

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