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A Survey of the Prevalence and Different Techniques for Glaucomatous Image Classification

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IJCA Proceedings on National Conference on Emerging Trends in Information Technology
© 2014 by IJCA Journal
NCETIT - Number 1
Year of Publication: 2014
Authors:
Nilima S. Patil
R. B. Wagh

Nilima S Patil and R B Wagh. Article: A Survey of the Prevalence and Different Techniques for Glaucomatous Image Classification. IJCA Proceedings on National Conference on Emerging Trends in Information Technology NCETIT(1):11-13, December 2014. Full text available. BibTeX

@article{key:article,
	author = {Nilima S. Patil and R. B. Wagh},
	title = {Article: A Survey of the Prevalence and Different Techniques for Glaucomatous Image Classification},
	journal = {IJCA Proceedings on National Conference on Emerging Trends in Information Technology},
	year = {2014},
	volume = {NCETIT},
	number = {1},
	pages = {11-13},
	month = {December},
	note = {Full text available}
}

Abstract

The recent advance in glaucoma classification method and improvements in the accuracy of classification. An Automated clinical decision support systems are designed to create effective decision support systems for the identification of disease , it is used to extract structural, contextual, or textural features from retinal images which are use to distinguish between normal and diseased samples. The effectiveness is gauged of the resultant ranked and selected subsets of features using a random forest , support vector machine, sequential minimal optimization, and na¨?ve Bayes classification strategies. This paper presents a detailed review on existing classification approaches that have applied to glaucoma classification.

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