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DR Detection of Fundus Retinal Images: Review

Published on December 2014 by R D Badgujar, P J Deore
journal_cover_thumbnail

National Conference on Advances in Communication and Computing
Foundation of Computer Science USA
NCACC2014 - Number 1
December 2014
Authors: R D Badgujar, P J Deore
cacef3ec-148f-4345-90d2-f48ae5b22ed8

R D Badgujar, P J Deore . DR Detection of Fundus Retinal Images: Review. National Conference on Advances in Communication and Computing. NCACC2014, 1 (December 2014), 7-11.

@article{
author = { R D Badgujar, P J Deore },
title = { DR Detection of Fundus Retinal Images: Review },
journal = { National Conference on Advances in Communication and Computing },
issue_date = { December 2014 },
volume = { NCACC2014 },
number = { 1 },
month = { December },
year = { 2014 },
issn = 0975-8887,
pages = { 7-11 },
numpages = 5,
url = { /proceedings/ncacc2014/number1/19118-2001/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Advances in Communication and Computing
%A R D Badgujar
%A P J Deore
%T DR Detection of Fundus Retinal Images: Review
%J National Conference on Advances in Communication and Computing
%@ 0975-8887
%V NCACC2014
%N 1
%P 7-11
%D 2014
%I International Journal of Computer Applications
Abstract

Retinal images of humans play an important role in the detection and diagnosis of many eye diseases for ophthalmologists. Ocular fundus image can provide information on pathological changes and early signs of diabetic retinopathy. During the last decade, Retinal image analysis is maturing as a field, making steady progress towards automated detection and representation of eye diseases. This paper reviews the algorithms and techniques used for DR detection.

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Index Terms

Computer Science
Information Sciences

Keywords

Fundus Image Segmentation Diabetic Retinopathy (dr) Microaneurysms And Retinal Diseases.