Different Lung Parenchyma Quantification Using Dissimilar Se…

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Different Lung Parenchyma Quantification Using Dissimilar Segmentation Software: A Multi-Center Study for COVID-19 Patients

Article 2022 EN Gold

Background: Chest Computed Tomography (CT) imaging has played a central role in the diagnosis of interstitial pneumonia in patients affected by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and can be used to obtain the extent of lung involvement in COVID-19 pneumonia patients either qualitatively, via visual inspection, or quantitatively, via AI-based software. This study aims to c…

23

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28

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19

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19 authors
#AuthorInstitutionsORCID
1 Camilla Risoli Guglielmo da Saliceto Hospital (IT)
2 Marco Nicolò Azienda Socio Sanitaria Territ… (IT)
3 Davide Colombi Guglielmo da Saliceto Hospital (IT)
4 Marco Moia Guglielmo da Saliceto Hospital (IT) —
5 Fausto Rapacioli Guglielmo da Saliceto Hospital (IT) —
6 Pietro Anselmi Guglielmo da Saliceto Hospital (IT) —
7 Emanuele Michieletti Guglielmo da Saliceto Hospital (IT)
8 Roberta Ambrosini Azienda Socio Sanitaria Territ… (IT)
9 M. Di Terlizzi Azienda Socio Sanitaria Territ… (IT) —
10 Luigi Grazioli Azienda Socio Sanitaria Territ… (IT)
11 Cristian Colmo — —
12 Angelo Di Naro Ospedale Papa Giovanni XXIII (IT)
13 Matteo Pio Natale University of Foggia (IT) —
14 Alessandro Tombolesi Azienda Ospedaliera Citta' del… (IT)
15 Altin Adraman Ospedale Santa Chiara (IT)
16 Domenico Tuttolomondo —
17 Cosimo Costantino University of Parma (IT)
18 Elisa Vetti University of Parma (IT) —
19 Chiara Martini Corresponding University of Parma (IT)

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