Prediction of disease severity in COPD: a deep learning approach for anomaly-based quantitative assessment of chest CT
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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1 Online-Ressource.
- Language
-
Englisch
- Bibliographic citation
-
Prediction of disease severity in COPD: a deep learning approach for anomaly-based quantitative assessment of chest CT ; day:27 ; month:12 ; year:2023 ; pages:1-14
European radiology ; (27.12.2023), 1-14
- Creator
-
Almeida, Silvia D.
Norajitra, Tobias
Lüth, Carsten T.
Wald, Tassilo
Weru, Vivienn
Nolden, Marco
Jäger, Paul F.
Stackelberg, Oyunbileg von
Heußel, Claus Peter
Weinheimer, Oliver
Biederer, Jürgen
Kauczor, Hans-Ulrich
Maier-Hein, Klaus H.
- Contributor
-
SpringerLink (Online service)
- DOI
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10.1007/s00330-023-10540-3
- URN
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urn:nbn:de:101:1-2024040308540743458507
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:56 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Almeida, Silvia D.
- Norajitra, Tobias
- Lüth, Carsten T.
- Wald, Tassilo
- Weru, Vivienn
- Nolden, Marco
- Jäger, Paul F.
- Stackelberg, Oyunbileg von
- Heußel, Claus Peter
- Weinheimer, Oliver
- Biederer, Jürgen
- Kauczor, Hans-Ulrich
- Maier-Hein, Klaus H.
- SpringerLink (Online service)
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