An externally validated fully automated deep learning algorithm to classify COVID-19 and other pneumonias on chest computed tomography

PURPOSE: In this study, we propose an artificial intelligence (AI) framework based on three-dimensional convolutional neural networks to classify computed tomography (CT) scans of patients with coronavirus disease 2019 (COVID-19), influenza/community-acquired pneumonia (CAP), and no infection, after...

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Detalles Bibliográficos
Autores principales: Vaidyanathan, Akshayaa, Guiot, Julien, Zerka, Fadila, Belmans, Flore, Van Peufflik, Ingrid, Deprez, Louis, Danthine, Denis, Canivet, Gregory, Lambin, Philippe, Walsh, Sean, Occhipinti, Mariaelena, Meunier, Paul, Vos, Wim, Lovinfosse, Pierre, Leijenaar, Ralph T.H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: European Respiratory Society 2022
Materias:
Original Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8958945/
https://www.ncbi.nlm.nih.gov/pubmed/35509437
http://dx.doi.org/10.1183/23120541.00579-2021

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8958945/
https://www.ncbi.nlm.nih.gov/pubmed/35509437
http://dx.doi.org/10.1183/23120541.00579-2021

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