- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
Generative artificial intelligence: synthetic datasets in dentistry ; volume:10 ; number:1 ; day:1 ; month:3 ; year:2024 ; pages:1-5 ; date:12.2024
BDJ open ; 10, Heft 1 (1.3.2024), 1-5, 12.2024
- Urheber
-
Umer, Fahad
Adnan, Niha
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1038/s41405-024-00198-4
- URN
-
urn:nbn:de:101:1-2405052121019.392130330284
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:59 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Beteiligte
- Umer, Fahad
- Adnan, Niha
- SpringerLink (Online service)
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