Quantification of pulmonary opacities using artificial intelligence in chest CT scans during SARS-CoV-2 pandemic: validation and prognostic assessment

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: Quantification of pulmonary opacities using artificial intelligence in chest CT scans during SARS-CoV-2 pandemic: validation and prognostic assessment ; volume:54 ; number:1 ; day:14 ; month:9 ; year:2023 ; pages:1-12 ; date:12.2023
The Egyptian Journal of Radiology and Nuclear Medicine ; 54, Heft 1 (14.9.2023), 1-12, 12.2023

Creator: Montoro, Fernando Sánchez
Gordo, María Luz Parra
Tascón, Áurea Díez
Gracia, Milagros Martí de
Velez, Silvia Ossaba
Fernández, Susana Fernández
Vallano, Rebeca Gil
Acosta Velásquez, Kevin Stephen

Contributor: SpringerLink (Online service)

DOI: 10.1186/s43055-023-01105-x

URN: urn:nbn:de:101:1-2024013114504191516409

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:21 AM CEST

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Montoro, Fernando Sánchez
Gordo, María Luz Parra
Tascón, Áurea Díez
Gracia, Milagros Martí de
Velez, Silvia Ossaba
Fernández, Susana Fernández
Vallano, Rebeca Gil
Acosta Velásquez, Kevin Stephen
SpringerLink (Online service)

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Quantification of pulmonary opacities using artificial intelligence in chest CT scans during SARS-CoV-2 pandemic: validation and prognostic assessment

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