articleIEEE AccessJan 1, 2019GOLD OA

A Deep Learning Ensemble Approach for Diabetic Retinopathy Detection

COMSATS University Islamabad · Ton Duc Thang University

Indexed incrossrefdoaj

Abstract

Diabetic Retinopathy (DR) is an ophthalmic disease that damages retinal blood vessels. DR causes impaired vision and may even lead to blindness if it is not diagnosed in early stages. DR has five stages or classes, namely normal, mild, moderate, severe and PDR (Proliferative Diabetic Retinopathy). Normally, highly trained experts examine the colored fundus images to diagnose this fatal disease. This manual diagnosis of this condition (by clinicians) is tedious and error-prone. Therefore, various computer vision-based techniques have been proposed to automatically detect DR and its different stages from retina images. However, these methods are unable to encode the underlying complicated features and can only…

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Authors

8

Topics & keywords

Keywords
  • Computer science
  • Diabetic retinopathy
  • Convolutional neural network
  • Artificial intelligence
  • Fundus (uterus)
  • Deep learning
  • Pattern recognition (psychology)
  • Blindness
UN Sustainable Development Goals
  • Good health and well-being
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