Open Access
2 March 2022 RETRACTED: COVID-19 detection using machine learning: a large scale assessment of x-ray and CT image datasets
Md. Fahimuzzman Sohan, Anas Basalamah, Md. Solaiman
Author Affiliations +
Abstract

The Editor-in-Chief and the publisher have retracted this article, which was submitted as part of a guest-edited special section. An investigation uncovered evidence of compromised peer review and determined the paper is unrelated to the special section. The Editor and publisher no longer have confidence in the results and conclusions of the article.

MFS disagrees with the retraction. AB and MS either did not respond or could not be reached.

Sohan, Basalamah, and Solaiman: (Retracted) COVID-19 detection using machine learning: a large scale assessment of x-ray and CT image datasets
© 2022 SPIE and IS&T
Md. Fahimuzzman Sohan, Anas Basalamah, and Md. Solaiman "RETRACTED: COVID-19 detection using machine learning: a large scale assessment of x-ray and CT image datasets," Journal of Electronic Imaging 31(4), 041212 (2 March 2022). https://doi.org/10.1117/1.JEI.31.4.041212
Received: 1 September 2021; Accepted: 14 February 2022; Published: 2 March 2022
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CITATIONS
Cited by 6 scholarly publications.
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KEYWORDS
COVID 19

Data modeling

X-ray computed tomography

X-rays

X-ray imaging

Machine learning

Education and training

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