MR-based radiomics-clinical nomogram in epithelial ovarian tumor prognosis prediction: tumor body texture analysis across various acquisition protocols
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1757-2215
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
MR-based radiomics-clinical nomogram in epithelial ovarian tumor prognosis prediction: tumor body texture analysis across various acquisition protocols ; volume:15 ; number:1 ; day:12 ; month:1 ; year:2022 ; pages:1-10 ; date:12.2022
Journal of ovarian research ; 15, Heft 1 (12.1.2022), 1-10, 12.2022
- Urheber
-
Wang, Tianping
Wang, Haijie
Wang, Yida
Liu, Xuefen
Ling, Lei
Zhang, Guofu
Yang, Guang
Zhang, He
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s13048-021-00941-7
- URN
-
urn:nbn:de:101:1-2022042619403684937000
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:30 MESZ
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Beteiligte
- Wang, Tianping
- Wang, Haijie
- Wang, Yida
- Liu, Xuefen
- Ling, Lei
- Zhang, Guofu
- Yang, Guang
- Zhang, He
- SpringerLink (Online service)
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