UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 8 Issue 5
May-2021
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2105570


Registration ID:
309655

Page Number

e240-e244

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Title

Diabetic Retinopathy Detection

Abstract

Many Diabetic patients suffer from a medical condition in the retina of the eye known as Diabetic Retinopathy. The main cause of Diabetic Retinopathy is high blood sugar levels over a long period of time in the retina known as Diabetes Mellitus. The primary goal is to automatically classify patients having diabetic retinopathy and not having the same, given any High-Resolution Fundus Image of the Retina. Then, a Deep Learning Approach is applied in which the processed image is fed into a Convolutional Neural Network to predict whether the patient is diabetic or not. This methodology is applied on a dataset of 1000 High Resolution Fundus Images of the retina. The results, so obtained are a 75 % predictive accuracy and 10% predictive loss. Such an Automated System can easily classify images of the retina among Diabetic and Healthy patients, reducing the number of reviews of doctors.

Key Words

Diabetic Retinopathy, Diabetes Mellitus, High Resolution Fundus, Deep Learning, Convolutional Neural Networ

Cite This Article

"Diabetic Retinopathy Detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 5, page no.e240-e244, May-2021, Available :http://www.jetir.org/papers/JETIR2105570.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Diabetic Retinopathy Detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 5, page no. ppe240-e244, May-2021, Available at : http://www.jetir.org/papers/JETIR2105570.pdf

Publication Details

Published Paper ID: JETIR2105570
Registration ID: 309655
Published In: Volume 8 | Issue 5 | Year May-2021
DOI (Digital Object Identifier):
Page No: e240-e244
Country: Ambarnath/Thane, maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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