- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2509-9280
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Machine learning applications in prostate cancer magnetic resonance imaging ; volume:3 ; number:1 ; day:7 ; month:8 ; year:2019 ; pages:1-8 ; date:12.2019
European radiology experimental ; 3, Heft 1 (7.8.2019), 1-8, 12.2019
- Urheber
-
Cuocolo, Renato
Cipullo, Maria Brunella
Stanzione, Arnaldo
Ugga, Lorenzo
Romeo, Valeria
Radice, Leonardo
Brunetti, Arturo
Imbriaco, Massimo
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s41747-019-0109-2
- URN
-
urn:nbn:de:101:1-2019122821103580590650
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 11:00 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
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Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Cuocolo, Renato
- Cipullo, Maria Brunella
- Stanzione, Arnaldo
- Ugga, Lorenzo
- Romeo, Valeria
- Radice, Leonardo
- Brunetti, Arturo
- Imbriaco, Massimo
- SpringerLink (Online service)
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