Quantitative Analysis of Residual COVID-19 Lung CT Features: Consistency among Two Commercial Software

Quantitative Analysis of Residual COVID-19 Lung CT Features: Consistency among Two Commercial Software

Objective: To investigate two commercial software and their efficacy in the assessment of chest CT sequelae in patients affected by COVID-19 pneumonia, comparing the consistency of tools. Materials and Methods: Included in the study group were 120 COVID-19 patients (56 women and 104 men; 61 years of...

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Auteurs principaux: Vincenza Granata, Stefania Ianniello, Roberta Fusco, Fabrizio Urraro, Davide Pupo, Simona Magliocchetti, Fabrizio Albarello, Paolo Campioni, Massimo Cristofaro, Federica Di Stefano, Nicoletta Fusco, Ada Petrone, Vincenzo Schininà, Alberta Villanacci, Francesca Grassi, Roberta Grassi, Roberto Grassi
Format: article
Langue:EN
Publié: MDPI AG 2021
Sujets:
COVID-19
post COVID-19 sequelae
computed tomography
quantitative analysis
artificial intelligence
Medicine
R
Accès en ligne:https://doaj.org/article/9fdba9a48e594fb790f2ba8a1decbbad
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https://doaj.org/article/9fdba9a48e594fb790f2ba8a1decbbad

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