COVID-19 disease: CT Pneumonia Analysis prototype by using artificial intelligence, predicting the disease severity

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Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 2090-4762

Extent: Online-Ressource

Language: Englisch

Notes: online resource.

Bibliographic citation: COVID-19 disease: CT Pneumonia Analysis prototype by using artificial intelligence, predicting the disease severity ; volume:51 ; number:1 ; day:25 ; month:9 ; year:2020 ; pages:1-11 ; date:12.2020
The Egyptian Journal of Radiology and Nuclear Medicine ; 51, Heft 1 (25.9.2020), 1-11, 12.2020

Creator: Gouda, Walaa
Yasin, Rabab

Contributor: SpringerLink (Online service)

DOI: 10.1186/s43055-020-00309-9

URN: urn:nbn:de:101:1-2020111319292179702132

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

Last update: 15.08.2025, 7:36 AM CEST

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Gouda, Walaa
Yasin, Rabab
SpringerLink (Online service)

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COVID-19 disease: CT Pneumonia Analysis prototype by using artificial intelligence, predicting the disease severity

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