Artificial intelligence for differentiating COVID-19 from other viral pneumonias on CT: comparative analysis of different models based on quantitative and radiomic approaches

BACKGROUND: To develop a pipeline for automatic extraction of quantitative metrics and radiomic features from lung computed tomography (CT) and develop artificial intelligence (AI) models supporting differential diagnosis between coronavirus disease 2019 (COVID-19) and other viral pneumonia (non-COV...

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Detalles Bibliográficos
Autores principales: Zorzi, Giulia, Berta, Luca, Rizzetto, Francesco, De Mattia, Cristina, Felisi, Marco Maria Jacopo, Carrazza, Stefano, Nerini Molteni, Silvia, Vismara, Chiara, Scaglione, Francesco, Vanzulli, Angelo, Torresin, Alberto, Colombo, Paola Enrica
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Vienna 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9870776/
https://www.ncbi.nlm.nih.gov/pubmed/36690869
http://dx.doi.org/10.1186/s41747-022-00317-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9870776/
https://www.ncbi.nlm.nih.gov/pubmed/36690869
http://dx.doi.org/10.1186/s41747-022-00317-6

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