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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Veröffentlicht in: | World journal of engineering 2022-03, Vol.19 (2), p.139-146 |
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Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
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Online-Zugang: | Volltext |
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Zusammenfassung: | 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. |
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ISSN: | 1708-5284 1708-5284 |
DOI: | 10.1108/WJE-01-2021-0015 |