The week's pick
Reseach Article
A Survey of the Prevalence and Different Techniques for Glaucomatous Image Classification
| National Conference on Emerging Trends in Information Technology |
| Foundation of Computer Science USA |
| NCETIT - Number 1 |
| December 2014 |
| Authors: Nilima S. Patil, R. B. Wagh |
| e6a03ee5-7148-4514-b209-1b4bd07579fd |
Nilima S. Patil, R. B. Wagh . A Survey of the Prevalence and Different Techniques for Glaucomatous Image Classification. National Conference on Emerging Trends in Information Technology. NCETIT, 1 (December 2014), 11-13.
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.
References
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