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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...
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. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
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 |
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