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A Non-invasive Approach for the Classification of the Coronavirus Disease from CT Scan Images Using Machine Learning in Combination with Hybrid Texture Features

Crossref DOI link: https://doi.org/10.1007/s00354-025-00291-8

Published Online: 2025-03-04

Published Print: 2025-05

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Kumar, Upendra https://orcid.org/0000-0003-3792-7945
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Text and Data Mining valid from 2025-03-04

Version of Record valid from 2025-03-04
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Article History

Received: 2 July 2024

Accepted: 13 February 2025

First Online: 4 March 2025

Declarations

:

: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

: The dataset used in this work is publicly available for research work by just citing the source of the dataset and its owner.

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