Facilitating standardized COVID-19 suspicion prediction based on computed tomography radiomics in a multi-demographic setting

OBJECTIVE: To develop an automatic COVID-19 Reporting and Data System (CO-RADS)–based classification in a multi-demographic setting. METHODS: This multi-institutional review boards–approved retrospective study included 2720 chest CT scans (mean age, 58 years [range 18–100 years]) from Italian and Ru...

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Detalles Bibliográficos
Autores principales: Nagaraj, Yeshaswini, de Jonge, Gonda, Andreychenko, Anna, Presti, Gabriele, Fink, Matthias A., Pavlov, Nikolay, Quattrocchi, Carlo C., Morozov, Sergey, Veldhuis, Raymond, Oudkerk, Matthijs, van Ooijen, Peter M. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Computed Tomography
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8973680/
https://www.ncbi.nlm.nih.gov/pubmed/35362751
http://dx.doi.org/10.1007/s00330-022-08730-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8973680/
https://www.ncbi.nlm.nih.gov/pubmed/35362751
http://dx.doi.org/10.1007/s00330-022-08730-6

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