UGC Approved Journal no 63975(19)

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

Volume 8 Issue 6
June-2021
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2106152


Registration ID:
310440

Page Number

b73-b78

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Title

Avoid Cataract- Machine Learning Based Approach for Diagnosis of Eye

Abstract

Diabetic retinopathy is a serious concern that affects the eyes and results in blindness. This paper presents an early detection system that can help to avert or decrease the spread of DR which otherwise might cause blindness. The proposed system detects the type of DR based on CNN classification. The algorithm can identify groups of injured pixels in the macula region and evaluates the total damaged area in the macula from the color retinal images. The system is proven effective in detecting diabetic retinopathy with higher detection accuracy.

Key Words

Diabetic retinopathy (DR), Vision Loss, Eye Disease Prediction, Age-Related Macular Degeneration (AMD),CNN classification, Local Binary Patterns (LBP)

Cite This Article

"Avoid Cataract- Machine Learning Based Approach for Diagnosis of Eye", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 6, page no.b73-b78, June-2021, Available :http://www.jetir.org/papers/JETIR2106152.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

"Avoid Cataract- Machine Learning Based Approach for Diagnosis of Eye", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 6, page no. ppb73-b78, June-2021, Available at : http://www.jetir.org/papers/JETIR2106152.pdf

Publication Details

Published Paper ID: JETIR2106152
Registration ID: 310440
Published In: Volume 8 | Issue 6 | Year June-2021
DOI (Digital Object Identifier):
Page No: b73-b78
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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