UGC Approved Journal no 63975(19)

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

Volume 9 Issue 9
September-2022
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2209262


Registration ID:
501725

Page Number

c357-c363

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Title

Convolutional Neural Network Based Covid-19 Disease Detection Framework Using X-rays

Abstract

The COVID-19 pandemic has shown a disastrous impact on living souls. As it sustains to strike people anxiously, it has been laborious to test all at a time and it is tedious cycle. A mechanized location framework ought to be executed to hinder COVID-19 from spreading. We present a profound learning method predicated on the convolutional neural network (CNN). The dataset contains 122 COVID-19 X-Rays and 124 Normal pictures for testing. The rates of false positives of molecular tests have ranged from 2% to 37%. The trial results show that our proposed framework accomplished accuracy of 95.0%, specificity of 96.55%, sensitivity of 93.45%, and F1-score of 95.07%. The framework accomplished desired outcomes on the as of now accessible dataset, which can be additionally further developed when more COVID-19 pictures become accessible. The proposed framework can profit medicos to analyse and treat COVID-19 patients facilely.

Key Words

COVID-19, Convolutional Neural Network, Chest X-rays, Deep Learning

Cite This Article

"Convolutional Neural Network Based Covid-19 Disease Detection Framework Using X-rays", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 9, page no.c357-c363, September-2022, Available :http://www.jetir.org/papers/JETIR2209262.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

"Convolutional Neural Network Based Covid-19 Disease Detection Framework Using X-rays", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 9, page no. ppc357-c363, September-2022, Available at : http://www.jetir.org/papers/JETIR2209262.pdf

Publication Details

Published Paper ID: JETIR2209262
Registration ID: 501725
Published In: Volume 9 | Issue 9 | Year September-2022
DOI (Digital Object Identifier):
Page No: c357-c363
Country: Bapatla, Andhra Pradesh, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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