Diabetic retinopathy techniques in retinal images: A review.

Nadeem Salamat, Malik M Saad Missen, Aqsa Rashid

Journal: Artificial intelligence in medicine 2020;97():168-188

PMID: 30448367

Full Text on Elsevier Science View on PubMed

Abstract

The diabetic retinopathy is the main reason of vision loss in people. Medical experts recognize some clinical, geometrical and haemodynamic features of diabetic retinopathy. These features include the blood vessel area, exudates, microaneurysm, hemorrhages and neovascularization, etc. In Computer Aided Diagnosis (CAD) systems, these features are detected in fundus images using computer vision techniques. In this paper, we review the methods of low, middle and high level vision for automatic detection and classification of diabetic retinopathy.We give a detailed review of 79 algorithms for detecting different features of diabetic retinopathy during the last eight years.

Address: Department of Mathematics, Khawaja Fareed University of Engineering and Information Technology, Rahim Yar Khan, Pakistan. Electronic address: [email protected].; Department of Computer Science and IT, The Islamia University of Bahawalpur, Pakistan. Electronic address: [email protected].; Military College of Signals, Department of Information Security, National University of Science and Technology, Rawalpindi, Pakistan. Electronic address: [email protected].

DOI: 10.1016/j.artmed.2018.10.009

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MeSH Terms: Diabetic Retinopathy, Humans, Retina, Retinal Vessels