RETRACTED: 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
Retraction statement
The publishers of World Journal of Engineering wish to retract the article 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
An internal investigation into a series of submissions has uncovered evidence that the peer review process was compromised. As a result of these concerns, the findings of the article cannot be relied upon. This decision has been taken in accordance with Emerald's publishing ethics and the COPE guidelines on retractions.
The publishers of the journal sincerely apologize to the readers
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), "RETRACTED: 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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