UGC Approved Journal no 63975(19)

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

Volume 6 Issue 6
June-2019
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1906Z78


Registration ID:
219326

Page Number

555-560

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Title

Diabetic Retinopathy Detection with Machine Learning

Abstract

Abstract : An image is known as scalar in case a single measurement is made at every location that exists Abstract : An image is known as scalar in case a single measurement is made at every location that exists in the image. Due to the development of high speed, more accurate and less invasive devices, the medical imaging has been going through a revolution over the decade. Adequate software is also needed to be developed to handle such high level of imaging. The retinal images are evaluated to diagnose the Diabetic Retinopathy. It is however, time consuming and resource demanding to manually grade the images such that the severity of DR can be defined. The proposed K-Nearest Neighbors algorithm is implemented in MATLAB and results are analyzed in terms of accuracy, specificity and sensitivity. It is analyzed that proposed method performs well in terms accuracy, specificity and sensitivity as compared to existing method.

Key Words

Keywords: Retinal Images, KNN, Vessel Detections

Cite This Article

"Diabetic Retinopathy Detection with Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.555-560, June 2019, Available :http://www.jetir.org/papers/JETIR1906Z78.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 with Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp555-560, June 2019, Available at : http://www.jetir.org/papers/JETIR1906Z78.pdf

Publication Details

Published Paper ID: JETIR1906Z78
Registration ID: 219326
Published In: Volume 6 | Issue 6 | Year June-2019
DOI (Digital Object Identifier):
Page No: 555-560
Country: Hoshiarpur, Punjab, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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