Computer-aided diagnosis of diabetic retinopathy: a review.

Muthu Rama Krishnan Mookiah, U Rajendra Acharya, Chua Kuang Chua, Choo Min Lim, E Y K Ng, Augustinus Laude

Journal: Computers in biology and medicine 2014;43(12):2136-55

PMID: 24290931

Full Text on Elsevier Science View on PubMed

Abstract

Diabetes mellitus may cause alterations in the retinal microvasculature leading to diabetic retinopathy. Unchecked, advanced diabetic retinopathy may lead to blindness. It can be tedious and time consuming to decipher subtle morphological changes in optic disk, microaneurysms, hemorrhage, blood vessels, macula, and exudates through manual inspection of fundus images. A computer aided diagnosis system can significantly reduce the burden on the ophthalmologists and may alleviate the inter and intra observer variability. This review discusses the available methods of various retinal feature extractions and automated analysis.

Address: Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, Singapore 599489 Singapore. Electronic address: [email protected].

DOI: 10.1016/j.compbiomed.2013.10.007

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MeSH Terms: Diabetic Retinopathy, Diagnosis, Computer-Assisted, Female, Fundus Oculi, Humans, Image Processing, Computer-Assisted, Male