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Machine Learning-enhanced X-ray-based Radiomics in the Identification of Post-COVID Patients

Crossref DOI link: https://doi.org/10.1016/j.arbres.2024.12.004

Published Print: 2024-12

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

Fulop, Andrea

Gil, Jeovanis

Rozsas, Anita

Solymosi, Diana

Bogos, Krisztina

Ferencz, Bence

Berta, Judit

Dome, Peter

Marko-Varga, Gyorgy

Dome, Balazs

Kerpel-Fronius, Anna

Megyesfalvi, Zsolt
Funding

Funding for this research was provided by:

Nemzeti Kutatási Fejlesztési és Innovációs Hivatal

International Association for the Study of Lung Cancer

Austrian Science Fund

Hungarian Academy of Sciences

Innovációs és Technológiai Minisztérium

Semmelweis University
License Information

Text and Data Mining valid from 2024-12-01

Text and Data Mining valid from 2024-12-01

Version of Record valid from 2024-12-18
More Information

This article is maintained by: Elsevier

Article Title: Machine Learning-enhanced X-ray-based Radiomics in the Identification of Post-COVID Patients

Journal Title: Archivos de Bronconeumología

CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.arbres.2024.12.004

Content Type: simple-article

Copyright: © 2024 The Authors. Published by Elsevier España, S.L.U. on behalf of SEPAR.