STM Journals Peer-reviewed research from Consortium e-Learning Network

Journal of Image Processing & Pattern Recognition Progress

Automatic Detection of Diabetic Retinopathy from Fundus Images- A Review

  1. Tawseef Ahmad Dar
  2. Amjad Husain

Abstract

Abstract: Diabetes mellitus may cause modifications in the retinal microvasculature prompting diabetic retinopathy (DR). Unchecked, propelled/advanced DR may prompt visual impairment. It very well may be dull and tedious to unravel unpretentious morphological changes in optic disc, microaneurysms, haemorrhages, veins, macula, and exudates through manual review of fundus pictures/images. A computer aided systematic diagnosis can considerably decrease the burden on ophthalmologists and can increase the inter- and intra-observer variability. This review discusses about the features of DR, accessible and available methods of automated analysis and methods in retinal image screening for DR.Keywords: Retinopathy, exudates, retina, pre-processing, classifiersCite this Article: Tawseef Ahmad Dar, Amjad Husain. Automatic Detection of Diabetic Retinopathy from Fundus Images: A Review. Journal of Image Processing & Pattern Recognition Progress. 2019; 6(3): 12–23p.
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