COVID-Nets: deep CNN architectures for detecting COVID-19 using chest CT scans.

Alshazly, Hammam; Linse, Christoph; Abdalla, Mohamed; Barth, Erhardt; Martinetz, Thomas

Alshazly, Hammam; Linse, Christoph; Abdalla, Mohamed; Barth, Erhardt; Martinetz, Thomas.

Afiliación

Alshazly H; Institut für Neuro- und Bioinformatik, University of Lübeck, Lübeck, Germany.
Linse C; Faculty of Computers and Information, South Valley University, Qena, Egypt.
Abdalla M; Institut für Neuro- und Bioinformatik, University of Lübeck, Lübeck, Germany.
Barth E; Mathematics Department, Faculty of Science, King Khalid University, Abha, Saudi Arabia.
Martinetz T; Mathematics Department, Faculty of Science, South Valley University, Qena, Egypt.

PeerJ Comput Sci ; 7: e655, 2021.

Article en En | MEDLINE | ID: mdl-34401477

Palabras clave

Automated diagnosis; COVID-19 detection; Computed tomography; Deep learning; Multi-class classification; SARS-CoV-2

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: PeerJ Comput Sci Año: 2021 Tipo del documento: Article País de afiliación: Alemania Pais de publicación: Estados Unidos

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