Efficient Computer-Aided Techniques to Detect Glaucoma

Author:

Vijapur Nataraj,Kunte R. Srinivasarao

Publisher

IntechOpen

Reference26 articles.

1. Raychaudhuri A, Lahiri SK, Bandyopadhyay M, Foster PJ, Reeves BC, Johnson GJ. A population based survey of the prevalence and types of glaucoma in rural West Bengal. The West Bengal Glaucoma Study. The British Journal of Ophthalmology. 2005;89(12):1559-1564

2. Song X, Song K, Chen Y. A computer-based diagnosis system for early glaucoma screening. In: Proc. IEEE Engineering in Medicine and Biology 27th Annual Conf. 2005. pp. 6608-6611

3. Eye Anatomy. Available from http://www.optos.com/en-US/Patients/Healthy-sight/Eye-anatomy/ [Accessed: 15 December 2016]

4. Guyton AC, Hall JE. Textbook of Medical Physiology. 9th ed. Elseveir Saunders; 1996

5. Nath MK, Dandapat S. Techniques of glaucoma detection from color fundus images: A review. International Journal of Image, Graphics and Signal Processing. 2012;4:44-51

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