Automated glaucoma detection using quasi‐bivariate variational mode decomposition from fundus images

Author:

Agrawal Dheeraj Kumar1,Kirar Bhupendra Singh1,Pachori Ram Bilas2

Affiliation:

1. Department of Electronics and Communication EngineeringMaulana Azad National Institute of TechnologyBhopalIndia

2. Discipline of Electrical EngineeringIndian Institute of Technology IndoreIndoreIndia

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference47 articles.

1. Glaucoma risk index:Automated glaucoma detection from color fundus images

2. Global Prevalence of Glaucoma and Projections of Glaucoma Burden through 2040

3. ‘Types of Glaucoma‐Glaucoma Research Foundation’. Available athttps://www.glaucoma.org/glaucoma/types‐of‐glaucoma.php accessed 27 November 2017

4. Comparison of optic nerve imaging methods to distinguish normal eyes from those with glaucoma;Greaney M.J.;Invest. Ophthalmol. Vis. Sci.,2002

5. Family history is a strong risk factor for prevalent angle closure in a south Indian population;Kavitha S.;Ophthalmology,2014

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