UGC Approved Journal no 63975(19)

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

Volume 10 Issue 7
July-2023
eISSN: 2349-5162

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

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR2307221


Registration ID:
520938

Page Number

c185-c190

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Title

Detection of Covid-19 From chest X-ray images

Abstract

The Corona Virus (Covid-19) is a pandemic disease which is spreaded world wide is highly transmittable . Early diagnosis of Covid-19 is isolating the positive cases and preventing the further spread of the disease. A major step to fight against Covid-19 with one of the screening approach is Radiography of chest X-ray images with the characteristics of the patient infected with Covid-19, Pneumonia, Normal were taken. In this we use a CNN (Convolution neural network) deep learning AI algorithm is used which plays a vital role in detection of image, to achieve the better result CNN Algorithm has been used. In this we have taken the dataset of 6,432 images which were collected from the kaggle dataset consist of covid-19, pneumonia, normal.

Key Words

Covid-19 Detection, CNN (Convolution Neural Networks), deep learning , X-ray images(Covid-19 , Pneumonia, Normal)

Cite This Article

"Detection of Covid-19 From chest X-ray images", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 7, page no.c185-c190, July-2023, Available :http://www.jetir.org/papers/JETIR2307221.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

"Detection of Covid-19 From chest X-ray images", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 7, page no. ppc185-c190, July-2023, Available at : http://www.jetir.org/papers/JETIR2307221.pdf

Publication Details

Published Paper ID: JETIR2307221
Registration ID: 520938
Published In: Volume 10 | Issue 7 | Year July-2023
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.35630
Page No: c185-c190
Country: hyderabad, Telangana, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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