A multicenter evaluation of a deep learning software (LungQuant) for lung parenchyma characterization in COVID-19 pneumonia

BACKGROUND: The role of computed tomography (CT) in the diagnosis and characterization of coronavirus disease 2019 (COVID-19) pneumonia has been widely recognized. We evaluated the performance of a software for quantitative analysis of chest CT, the LungQuant system, by comparing its results with in...

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Detalles Bibliográficos
Autores principales: Scapicchio, Camilla, Chincarini, Andrea, Ballante, Elena, Berta, Luca, Bicci, Eleonora, Bortolotto, Chandra, Brero, Francesca, Cabini, Raffaella Fiamma, Cristofalo, Giuseppe, Fanni, Salvatore Claudio, Fantacci, Maria Evelina, Figini, Silvia, Galia, Massimo, Gemma, Pietro, Grassedonio, Emanuele, Lascialfari, Alessandro, Lenardi, Cristina, Lionetti, Alice, Lizzi, Francesca, Marrale, Maurizio, Midiri, Massimo, Nardi, Cosimo, Oliva, Piernicola, Perillo, Noemi, Postuma, Ian, Preda, Lorenzo, Rastrelli, Vieri, Rizzetto, Francesco, Spina, Nicola, Talamonti, Cinzia, Torresin, Alberto, Vanzulli, Angelo, Volpi, Federica, Neri, Emanuele, Retico, Alessandra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Vienna 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10083148/
https://www.ncbi.nlm.nih.gov/pubmed/37032383
http://dx.doi.org/10.1186/s41747-023-00334-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10083148/
https://www.ncbi.nlm.nih.gov/pubmed/37032383
http://dx.doi.org/10.1186/s41747-023-00334-z

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