BIOINFOLET - A Quarterly Journal of Life Sciences

Web of Science
  • Year: 2021
  • Volume: 18
  • Issue: 1a

Detection of diabetic retinopathy using transfer learning approach

  • Author:
  • Nidhi Kamothi, Rashmi Thakur
  • Total Page Count: 4
  • DOI:
  • Page Number: 51 to 54

Department of Computer Engineering, Thakur College of Engineering and Technology (TCET), Mumbai, 400 101, India

Online published on 27 April, 2021.

Abstract

Diabetic retinopathy (DR) is an important cause of Blurred or Impaired vision. It is caused by damage to the blood vessels of the light-sensitive tissue of retina. It is difficult to identify it through retinal images alone. The aim of present investigation was to diagnose the disease using Transfer learning-based algorithm at different levels. Stage classification is a critical step for the assessment and care of DR. We equipped Transfer Learning (TL) based algorithm at different levels.

Keywords

Transfer learning, Diabetic Retinopathy, Classification, Predictive Diagnosis, Modified VGG16, Res Net 50