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DR Detection of Fundus Retinal Images: Review

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IJCA Proceedings on National Conference on Advances in Communication and Computing
© 2014 by IJCA Journal
NCACC 2014 - Number 1
Year of Publication: 2014
Authors:
R D Badgujar
P J Deore

R D Badgujar and P J Deore. Article: DR Detection of Fundus Retinal Images: Review. IJCA Proceedings on National Conference on Advances in Communication and Computing NCACC(1):7-11, December 2014. Full text available. BibTeX

@article{key:article,
	author = {R D Badgujar and P J Deore},
	title = {Article: DR Detection of Fundus Retinal Images: Review},
	journal = {IJCA Proceedings on National Conference on Advances in Communication and Computing},
	year = {2014},
	volume = {NCACC},
	number = {1},
	pages = {7-11},
	month = {December},
	note = {Full text available}
}

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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