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...
Main Authors: | Akshayaa Vaidyanathan, Julien Guiot, Fadila Zerka, Flore Belmans, Ingrid Van Peufflik, Louis Deprez, Denis Danthine, Gregory Canivet, Philippe Lambin, Sean Walsh, Mariaelena Occhipinti, Paul Meunier, Wim Vos, Pierre Lovinfosse, Ralph T.H. Leijenaar |
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Format: | Article |
Language: | English |
Published: |
European Respiratory Society
2022-05-01
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Series: | ERJ Open Research |
Online Access: | http://openres.ersjournals.com/content/8/2/00579-2021.full |
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