Automated glaucoma assessment from color fundus images using structural and texture features

Author:

Nawaldgi Sharanagouda,Lalitha Y S

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference43 articles.

1. Glaucoma Research Foundation, http://www.glaucoma.org/glaucoma/typesofglaucoma.php.

2. The number of people with glaucoma worldwide in 2010 and 2020;Quigley;Brit. J. Ophthalmol.,2006

3. N. Inoue, K. Yanashima, K. Magatani, T. Kurihara. Development of a simple diagnosticmethod for the glaucoma using ocular fundus pictures. Proceedings of 2005 IEEE, Engineering in medicine and biology 27th annual conference, shanghai, China, pp. 3355--3358, January 2006.

4. Automatic measurement of cup to disc ratio based on line profile analysis in retinal images;Hatanaka;Conf. Proc IEEE Eng Med Bioi Soc.,2011

5. An efficient automated system for glaucoma detection using fundus image;Narasimhan;J. Theor. Appl. Inf. Technol.,2011

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