A deep-learning approach for segmentation of liver tumors in magnetic resonance imaging using UNet++
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
-
Englisch
- Erschienen in
-
A deep-learning approach for segmentation of liver tumors in magnetic resonance imaging using UNet++ ; volume:23 ; number:1 ; day:3 ; month:11 ; year:2023 ; pages:1-8 ; date:12.2023
BMC cancer ; 23, Heft 1 (3.11.2023), 1-8, 12.2023
- Urheber
-
Wang, Jing
Peng, Yanyang
Jing, Shi
Han, Lujun
Li, Tian
Luo, Junpeng
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s12885-023-11432-x
- URN
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urn:nbn:de:101:1-2024012212133891149845
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:31 MESZ
Datenpartner
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Beteiligte
- Wang, Jing
- Peng, Yanyang
- Jing, Shi
- Han, Lujun
- Li, Tian
- Luo, Junpeng
- SpringerLink (Online service)
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