COVID-19 prediction through X-ray images using various layers in convolutional neural network

Purpose The purpose of this paper is to focus on the prediction of Coronavirus 2019 (COVID-19) using X-ray image. Design/methodology/approach This study proposed convolutional neural network (CNN) approach to predict COVID-19. Findings Prediction of COVID-19 using CNN. Originality/value The work has...

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Bibliographic Details
Published in:World journal of engineering 2022-03, Vol.19 (2), p.139-146
Main Authors: Mishra, Jyoti, Tiwari, Mahendra, Bajpai, Bhavna, Atre, Swati, Kaur, Amandeep
Format: Article
Language:English
Subjects:
Artificial intelligence
Artificial neural networks
Coronaviruses
COVID-19
X-rays
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Summary:Purpose The purpose of this paper is to focus on the prediction of Coronavirus 2019 (COVID-19) using X-ray image. Design/methodology/approach This study proposed convolutional neural network (CNN) approach to predict COVID-19. Findings Prediction of COVID-19 using CNN. Originality/value The work has implemented multiple CNN models to classify chest X-ray of affected patients by using their chest scans. According to three models, the ResNet-50 is advantageous because of its high service reliability.
ISSN:1708-5284
1708-5284
DOI:10.1108/WJE-01-2021-0015