Diabetic retinopathy techniques in retinal images: A review

Publication date: Available online 16 November 2018Source: Artificial Intelligence in MedicineAuthor(s): Nadeem Salamat, Malik M. Saad Missen, Aqsa RashidAbstractThe 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.
Source: Artificial Intelligence in Medicine - Category: Bioinformatics Source Type: research