NDLI: Computer-Based Classification of Eye Diseases

Content Provider	IEEE Xplore Digital Library
Author	Acharya, U.R. Kannathal, N. Ng, E.Y.K. Min, L.C. Suri, J.S.
Copyright Year	2006
Description	Author affiliation: Dept. of Electron. & Comput. Eng., Ngee Ann Polytech., Singapore (Acharya, U.R.; Kannathal, N.)
Abstract	Eye disorders among the elderly are a major health problem. With advancing age, the normal function of eye tissues decreases and there is an increased incidence of ocular pathology. The most common causes of age related eye disorder and visual impairment in the elderly are cataracts, iridocyclitis and corneal haze. Iridocyclitis is an inflammation of the iris (the colored part of the eye), while corneal haze is a complication of refractive surgery characterized by the cloudiness of the normally clear cornea. Computer-based intelligent system for classification of these eye diseases is very useful in diagnostics and disease management. This paper presents a comparison of three classification strategies to classify four kinds of eye data sets (three different kinds of eye diseases and a normal class). Our protocol uses three different kinds of classifiers: artificial neural network, fuzzy classifier and neuro-fuzzy classifier. Features are extracted from these raw images which are then fed to these classifiers. These classifiers are run on a database of 135 subjects using the cross-validation strategy. We demonstrate a sensitivity of more than 85% for these classifiers with the specificity of 100% and results are very promising
Sponsorship	IEEE EMB
Starting Page	6121
Ending Page	6124
File Size	191784
Page Count	4
File Format	PDF
ISBN	1424400325
ISSN	1557170X
DOI	10.1109/IEMBS.2006.260211
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Diseases Senior citizens Pathology Iris Surgery Cornea Intelligent systems Competitive intelligence Protocols Artificial neural networks specificity Eye iridocyclitis cataract normal eye corneal haze image processing features classification neural networks fuzzy classifier neuro-fuzzy classifier ANOVA test sensitivity
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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