A Review Paper on Detection of Glaucoma using Retinal Fundus Images
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 1
Abstract
This paper describes the various techniques used for automatic detection of glaucoma. Glaucoma is a chronic eye disease in which optic nerve is progressively damaged and hence causes partial loss of vision. If not treated properly, it may lead to blindness. The current diagnosis of this neurodegenerative disease is done by extracting different features from retinal fundus images. Mostly, the features include Cup to Disc Ratio(CDR), ratio of Neuro-Retinal Rim(NRR) in Inferior, Superior, Nasal, Temporal (ISNT) quadrants, blood vessels, Para-Papillary Atrophy(PPA) and RNFL(Retinal Nerve Fibre Layer) thickness.
Authors and Affiliations
Shruti Gorasia, Rida Anwar
Keywords
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