Performance Analysis Of Glaucoma Detection Approaches From Fundus Images-Reference-Cited by-同舟云学术

Performance Analysis Of Glaucoma Detection Approaches From Fundus Images

Published:2018 Issue: Volume:143 Page:544-551
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Divya L,Jacob Jaison

Publisher

Elsevier BV

Subject

General Engineering

Reference19 articles.

1. Automated Diagnosis of Glaucoma Using Empirical Wavelet Transform and Correntropy Features Extracted from Fundus Images.;Maheshwari;IEEE Journal of Biomedical and Health Informatics,2016

2. Comparison of optic nerve imaging methods to distinguish normal eyes from those with glaucoma.;Greaney;Investigative Ophthalmol. Visual Sci,2002

3. The prevalence and types of glaucoma in Malay people: The Singapore Malay eye study.;Shen;Investigative Ophthalmol. Visual Sci,2008

4. Retinal image analysis for automated glaucoma risk evaluation.;Nyl;Proc. SPIE,2009

5. “Automated Glaucoma Detection Techniques Using Fundus Images;Appasaheb Borgalli;International Journal Of Technology Enhancements And Emerging Engineering Research,2015

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