Journal
ARTIFICIAL INTELLIGENCE IN MEDICINE
Volume 97, Issue -, Pages 168-188Publisher
ELSEVIER
DOI: 10.1016/j.artmed.2018.10.009
Keywords
Computer aided diagnosis; Optic disc; Blood vessels; Exudates; Diabetic retinopathy screening
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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.
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