| Literature DB >> 30448367 |
Nadeem Salamat1, Malik M Saad Missen2, Aqsa Rashid3.
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.Entities:
Keywords: Blood vessels; Computer aided diagnosis; Diabetic retinopathy screening; Exudates; Optic disc
Mesh:
Year: 2018 PMID: 30448367 DOI: 10.1016/j.artmed.2018.10.009
Source DB: PubMed Journal: Artif Intell Med ISSN: 0933-3657 Impact factor: 5.326