UGC Approved Journal no 63975(19)

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

Volume 9 Issue 10
October-2022
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2210278


Registration ID:
503642

Page Number

c620-c626

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Title

COVID-19 CASES DETECTION BASED ON CHEST X-RAYS

Abstract

The COVID-19 pandemic has a significant negative effect on people’s health, as well as on the world’s economy. COrona VIrus Disease (COVID-19) is an infectious disease caused by the SARS-CoV-2 virus. In this paper, an automated COVID cases detection system is proposed using Deep Learning (DL). This system contains a network which is designed using ResNet-18, softmax and trained by chest X-rays(CXR) of all three classes (COVID, Pneumonia, normal).Data set is taken from Kaggle andentire design is coded in python. Further, the performance of the system is compared in terms of the accuracy, validation lossand F1 scoreand also calculated recall and precision. Volume of data and data preprocessing techniques also play a major role to improve the accuracy of proposed system.

Key Words

Covid-19, Pneumonia, CXR, DL, softmax.

Cite This Article

"COVID-19 CASES DETECTION BASED ON CHEST X-RAYS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 10, page no.c620-c626, October-2022, Available :http://www.jetir.org/papers/JETIR2210278.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

"COVID-19 CASES DETECTION BASED ON CHEST X-RAYS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 10, page no. ppc620-c626, October-2022, Available at : http://www.jetir.org/papers/JETIR2210278.pdf

Publication Details

Published Paper ID: JETIR2210278
Registration ID: 503642
Published In: Volume 9 | Issue 10 | Year October-2022
DOI (Digital Object Identifier):
Page No: c620-c626
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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