An efficient novel approach for glaucoma classification on retinal fundus images through machine learning paradigm

An efficient novel approach for glaucoma classification on retinal fundus images through machine learning paradigm

Glaucoma, a neuro-degenerative eye disease, is the result of an increase in intraocular pressure inside the retina. It is the second-leading cause of blindness worldwide, and if an early diagnosis is not made, it can lead to total blindness. There is a critical need to develop a system that can work...

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Bibliographic Details
Main Authors: Subbarayudu Yerragudipadu, Vijendar Reddy Gurram, Raj Kumar Masuram, Aravind Naik Mudavath, Nagini R.V.S.S., Singh Balpreet
Format: Article
Language:English
Published: EDP Sciences 2024-01-01
Series:MATEC Web of Conferences
Subjects:
machine learning
glaucoma prediction
retina
fundus images
artificial intelligence
logistic regression
Online Access:https://www.matec-conferences.org/articles/matecconf/pdf/2024/04/matecconf_icmed2024_01108.pdf

Internet

https://www.matec-conferences.org/articles/matecconf/pdf/2024/04/matecconf_icmed2024_01108.pdf

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