CT-based machine learning radiomics predicts CCR5 expression level and survival in ovarian cancer
- 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
-
CT-based machine learning radiomics predicts CCR5 expression level and survival in ovarian cancer ; volume:16 ; number:1 ; day:3 ; month:1 ; year:2023 ; pages:1-15 ; date:12.2023
Journal of ovarian research ; 16, Heft 1 (3.1.2023), 1-15, 12.2023
- Urheber
-
Wan, Sheng
Zhou, Tianfan
Che, Ronghua
Li, Ying
Peng, Jing
Wu, Yuelin
Gu, Shengyi
Cheng, Jiejun
Hua, Xiaolin
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s13048-022-01089-8
- URN
-
urn:nbn:de:101:1-2023031909264019604852
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 11:04 MESZ
Datenpartner
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Beteiligte
- Wan, Sheng
- Zhou, Tianfan
- Che, Ronghua
- Li, Ying
- Peng, Jing
- Wu, Yuelin
- Gu, Shengyi
- Cheng, Jiejun
- Hua, Xiaolin
- SpringerLink (Online service)
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