An advanced deep learning method to detect and classify diabetic retinopathy based on color fundus images.

Journal: Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie
Published Date: Aug 7, 2023

Abstract

BACKGROUND: In this article, we present a computerized system for the analysis and assessment of diabetic retinopathy (DR) based on retinal fundus photographs. DR is a chronic ophthalmic disease and a major reason for blindness in people with diabetes. Consistent examination and prompt diagnosis are the vital approaches to control DR.

Authors

  • Prasanna Lakshmi Akella
    Department of Electronics and Instrumentation Engineering, National Institute of Technology, Dimapur, Nagaland, India. prasannalakshmi.akella@gmail.com.
  • R Kumar
    Department of Otorhinolaryngology and Head and Neck Surgery, All India Institute of Medical Sciences, Room no. 4057, ENT Office, 4th floor, Teaching Block, Ansari Nagar, New Delhi, 110029 India.

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