COVID Detection Using Chest X-Ray and Transfer Learning

As per World Health Organization, COVID-19 is causing even the most important health systems across the countries under considerable strain. The advanced recognition of COVID 19 will result into decreasing the stress of a lot of health systems. Much similar to the customary usage of Chest X-Rays for...

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Main Authors: Jain, S., Sindhwani, N., Anand, R., Kannan, R.
Format: Article
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.33271 /
Published: Springer Science and Business Media Deutschland GmbH 2022
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127672464&doi=10.1007%2f978-3-030-96308-8_87&partnerID=40&md5=00f52e3cc1bf92f1756740b882e2905e
http://eprints.utp.edu.my/33271/
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spelling utp-eprints.332712022-07-26T06:32:00Z COVID Detection Using Chest X-Ray and Transfer Learning Jain, S. Sindhwani, N. Anand, R. Kannan, R. As per World Health Organization, COVID-19 is causing even the most important health systems across the countries under considerable strain. The advanced recognition of COVID 19 will result into decreasing the stress of a lot of health systems. Much similar to the customary usage of Chest X-Rays for detecting different pathologies, COVID-19 can also be detected using X-Ray of patients that indicates a very critical function in the diagnosis of SARS Covid-19. With rampant growth in the area of Deep Learning (DL) as well as Machine Learning (ML), it is much easier to design the framework that can detect COVID-19 infection easily. This paper proposes deep learning-based detection process by incorporating the concept of Transfer Learning for the classification of this pandemic using X-ray images of chest. This non-invasive and early-prediction of the corona virus by observing the X-rays of chest can subsequently be utilized to estimate the expansion of COVID-19 in the patients. This study got a maximum of 97 classifiers� accuracy using ResNet based model. This method can be utilized to upscale the effectiveness of the screening process. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG. Springer Science and Business Media Deutschland GmbH 2022 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127672464&doi=10.1007%2f978-3-030-96308-8_87&partnerID=40&md5=00f52e3cc1bf92f1756740b882e2905e Jain, S. and Sindhwani, N. and Anand, R. and Kannan, R. (2022) COVID Detection Using Chest X-Ray and Transfer Learning. Lecture Notes in Networks and Systems, 418 LN . pp. 933-943. http://eprints.utp.edu.my/33271/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description As per World Health Organization, COVID-19 is causing even the most important health systems across the countries under considerable strain. The advanced recognition of COVID 19 will result into decreasing the stress of a lot of health systems. Much similar to the customary usage of Chest X-Rays for detecting different pathologies, COVID-19 can also be detected using X-Ray of patients that indicates a very critical function in the diagnosis of SARS Covid-19. With rampant growth in the area of Deep Learning (DL) as well as Machine Learning (ML), it is much easier to design the framework that can detect COVID-19 infection easily. This paper proposes deep learning-based detection process by incorporating the concept of Transfer Learning for the classification of this pandemic using X-ray images of chest. This non-invasive and early-prediction of the corona virus by observing the X-rays of chest can subsequently be utilized to estimate the expansion of COVID-19 in the patients. This study got a maximum of 97 classifiers� accuracy using ResNet based model. This method can be utilized to upscale the effectiveness of the screening process. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
format Article
author Jain, S.
Sindhwani, N.
Anand, R.
Kannan, R.
spellingShingle Jain, S.
Sindhwani, N.
Anand, R.
Kannan, R.
COVID Detection Using Chest X-Ray and Transfer Learning
author_sort Jain, S.
title COVID Detection Using Chest X-Ray and Transfer Learning
title_short COVID Detection Using Chest X-Ray and Transfer Learning
title_full COVID Detection Using Chest X-Ray and Transfer Learning
title_fullStr COVID Detection Using Chest X-Ray and Transfer Learning
title_full_unstemmed COVID Detection Using Chest X-Ray and Transfer Learning
title_sort covid detection using chest x-ray and transfer learning
publisher Springer Science and Business Media Deutschland GmbH
publishDate 2022
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127672464&doi=10.1007%2f978-3-030-96308-8_87&partnerID=40&md5=00f52e3cc1bf92f1756740b882e2905e
http://eprints.utp.edu.my/33271/
_version_ 1741197828310433792
score 11.62408

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