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Glaucoma and Diabetic Retinopathy Diagnosis using Image Mining

by Neelam D. Panse, Tushar Ghorpade, Vimla Jethani
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 117 - Number 5
Year of Publication: 2015
Authors: Neelam D. Panse, Tushar Ghorpade, Vimla Jethani
10.5120/20550-2925

Neelam D. Panse, Tushar Ghorpade, Vimla Jethani . Glaucoma and Diabetic Retinopathy Diagnosis using Image Mining. International Journal of Computer Applications. 117, 5 ( May 2015), 14-16. DOI=10.5120/20550-2925

@article{ 10.5120/20550-2925,
author = { Neelam D. Panse, Tushar Ghorpade, Vimla Jethani },
title = { Glaucoma and Diabetic Retinopathy Diagnosis using Image Mining },
journal = { International Journal of Computer Applications },
issue_date = { May 2015 },
volume = { 117 },
number = { 5 },
month = { May },
year = { 2015 },
issn = { 0975-8887 },
pages = { 14-16 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume117/number5/20550-2925/ },
doi = { 10.5120/20550-2925 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:58:47.305189+05:30
%A Neelam D. Panse
%A Tushar Ghorpade
%A Vimla Jethani
%T Glaucoma and Diabetic Retinopathy Diagnosis using Image Mining
%J International Journal of Computer Applications
%@ 0975-8887
%V 117
%N 5
%P 14-16
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In today's world human are affected by various diseases which lead to damage of some or the other body part which degrades their working speed. Eye diseases are one of the factors, which include vision loss due to glaucoma and diabetic retinopathy. Glaucoma damages the optic nerve of the eye. DR cause changes in eye damage the blood vessel. Image will undergo a standard method of applying image processing which include image acquisition, pre-processing, feature extraction followed by exact identification of disease by means of a classifier. Various classifiers are available in data mining that have been used for classification in different areas. We will use SVM for classification of the retinal images into category of Normal, DR and Glaucoma. The Overall classification rate of the proposed system will give the better efficiency and accuracy of identifying the disease with respect to existing systems.

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Index Terms

Computer Science
Information Sciences

Keywords

Glaucoma Diabetic Retinopathy Retinal images Image Mining.

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