MR-based radiomics-clinical nomogram in epithelial ovarian tumor prognosis prediction: tumor body texture analysis across various acquisition protocols

Location
Deutsche Nationalbibliothek Frankfurt am Main
ISSN
1757-2215
Extent
Online-Ressource
Language
Englisch
Notes
online resource.

Bibliographic citation
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

Creator
Wang, Tianping
Wang, Haijie
Wang, Yida
Liu, Xuefen
Ling, Lei
Zhang, Guofu
Yang, Guang
Zhang, He
Contributor
SpringerLink (Online service)

DOI
10.1186/s13048-021-00941-7
URN
urn:nbn:de:101:1-2022042619403684937000
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
15.08.2025, 7:30 AM CEST

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Associated

  • Wang, Tianping
  • Wang, Haijie
  • Wang, Yida
  • Liu, Xuefen
  • Ling, Lei
  • Zhang, Guofu
  • Yang, Guang
  • Zhang, He
  • SpringerLink (Online service)

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