World Journal of Pharmaceutical
and Medical Research

( An ISO 9001:2015 Certified International Journal )

An International Peer Reviewed Journal for Pharmaceutical and Medical Research and Technology
An Official Publication of Society for Advance Healthcare Research (Reg. No. : 01/01/01/31674/16)
ISSN 2455-3301
IMPACT FACTOR: 6.842

ICV : 78.6

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Abstract

DETECTION OF GLAUCOMA AND DIABETES THROUGH IMAGE PROCESSING AND MACHINE LEARNING APPROACHES

Kshitij Miraj Shah, Payal Bose, and *Prof. Samir Kumar Bandyopadhyay

ABSTRACT

In the last few decades, glaucoma became the second biggest leading cause of irreversible vision loss. Because of its asymptotic growth, it is not properly diagnosed until the relatively late stage. To stop the severe damage by glaucoma it is needed to detect glaucoma in its early stages. Surprisingly diabetes also be the greatest cause of glaucoma. In the modern era, artificial intelligence makes great progress in the medical image processing field. Image analysis based on machine learning gives a huge success in diagnosis glaucoma without any misdiagnosis. The aim of this proposed paper is to create an automated process that can detect glaucoma and diabetic retinopathy. Here various Machine Learning models are used and results of these methods are presented.

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