CT-based deep learning radiomics nomogram for the prediction of pathological grade in bladder cancer: a multicenter study
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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1 Online-Ressource.
- Sprache
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Englisch
- Erschienen in
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CT-based deep learning radiomics nomogram for the prediction of pathological grade in bladder cancer: a multicenter study ; volume:23 ; number:1 ; day:18 ; month:9 ; year:2023 ; pages:1-12 ; date:12.2023
Cancer imaging ; 23, Heft 1 (18.9.2023), 1-12, 12.2023
- Urheber
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Song, Hongzheng
Yang, Shifeng
Yu, Boyang
Li, Na
Huang, Yonghua
Sun, Rui
Wang, Bo
Nie, Pei
Hou, Feng
Huang, Chencui
Zhang, Meng
Wang, Hexiang
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1186/s40644-023-00609-z
- URN
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urn:nbn:de:101:1-2024021210165738648564
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:36 MESZ
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Beteiligte
- Song, Hongzheng
- Yang, Shifeng
- Yu, Boyang
- Li, Na
- Huang, Yonghua
- Sun, Rui
- Wang, Bo
- Nie, Pei
- Hou, Feng
- Huang, Chencui
- Zhang, Meng
- Wang, Hexiang
- SpringerLink (Online service)
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