Comparison of deep learning, radiomics and subjective assessment of chest CT findings in SARS-CoV-2 pneumonia

PURPOSE: Comparison of deep learning algorithm, radiomics and subjective assessment of chest CT for predicting outcome (death or recovery) and intensive care unit (ICU) admission in patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. METHODS: The multicenter, ethica...

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Detalles Bibliográficos
Autores principales: Arru, Chiara, Ebrahimian, Shadi, Falaschi, Zeno, Hansen, Jacob Valentin, Pasche, Alessio, Lyhne, Mads Dam, Zimmermann, Mathis, Durlak, Felix, Mitschke, Matthias, Carriero, Alessandro, Nielsen-Kudsk, Jens Erik, Kalra, Mannudeep K., Saba, Luca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Published by Elsevier Inc. 2021
Materias:
Cardiothoracic Imaging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8247202/
https://www.ncbi.nlm.nih.gov/pubmed/34246044
http://dx.doi.org/10.1016/j.clinimag.2021.06.036

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8247202/
https://www.ncbi.nlm.nih.gov/pubmed/34246044
http://dx.doi.org/10.1016/j.clinimag.2021.06.036

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