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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Detalhes bibliográficos
Publicado no:Clin Imaging
Main Authors: 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: Artigo
Idioma:Inglês
Publicado em: Published by Elsevier Inc. 2021
Assuntos:
Cardiothoracic Imaging
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8247202/
https://ncbi.nlm.nih.gov/pubmed/34246044
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.clinimag.2021.06.036
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