Image recognition of COVID-19 using DarkCovidNet architecture based on convolutional neural network
ISSN: 1708-5284
Article publication date: 10 May 2021
Issue publication date: 22 February 2022
Abstract
Purpose
The purpose of this study/paper To focus on finding COVID-19 with the help of DarkCovidNet architecture on patient images.
Design/methodology/approach
We used machine learning techniques with convolutional neural network.
Findings
Detecting COVID-19 symptoms from patient CT scan images.
Originality/value
This paper contains a new architecture for detecting COVID-19 symptoms from patient computed tomography scan images.
Keywords
Citation
Kumar, P., Bajpai, B., Gupta, D.O., Jain, D.C. and Vimal, S. (2022), "Image recognition of COVID-19 using DarkCovidNet architecture based on convolutional neural network", World Journal of Engineering, Vol. 19 No. 1, pp. 90-97. https://doi.org/10.1108/WJE-12-2020-0655
Publisher
:Emerald Publishing Limited
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