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

doi:10.1016/j.compbiomed.2013.10.007

Computer-aided diagnosis of diabetic retinopathy: a review

Comput Biol Med. 2013 Dec;43(12):2136-55. doi: 10.1016/j.compbiomed.2013.10.007. Epub 2013 Oct 14.

Authors

Muthu Rama Krishnan Mookiah¹, U Rajendra Acharya, Chua Kuang Chua, Choo Min Lim, E Y K Ng, Augustinus Laude

Affiliation

¹ Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, Singapore 599489 Singapore. Electronic address: mkm2@np.edu.sg.

PMID: 24290931
DOI: 10.1016/j.compbiomed.2013.10.007

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.

Keywords: Computer-aided diagnosis; Fundus imaging; Image processing; Pattern classification; Retina; Retinopathy.

Publication types

Research Support, Non-U.S. Gov't
Review

MeSH terms

Diabetic Retinopathy / diagnosis*
Diabetic Retinopathy / pathology*
Diagnosis, Computer-Assisted / methods*
Female
Fundus Oculi*
Humans
Image Processing, Computer-Assisted / instrumentation
Image Processing, Computer-Assisted / methods*
Male