Predicting stone composition via machine-learning models trained on intra-operative endoscopic digital images
- 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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Predicting stone composition via machine-learning models trained on intra-operative endoscopic digital images ; volume:24 ; number:1 ; day:3 ; month:1 ; year:2024 ; pages:1-8 ; date:12.2024
BMC urology ; 24, Heft 1 (3.1.2024), 1-8, 12.2024
- Urheber
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Zhu, Guanhua
Li, Chengbai
Guo, Yinsheng
Sun, Lu
Jin, Tao
Wang, Ziyue
Li, Shiqing
Zhou, Feng
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1186/s12894-023-01396-2
- URN
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urn:nbn:de:101:1-2024031814044112275726
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 10:50 MESZ
Datenpartner
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Beteiligte
- Zhu, Guanhua
- Li, Chengbai
- Guo, Yinsheng
- Sun, Lu
- Jin, Tao
- Wang, Ziyue
- Li, Shiqing
- Zhou, Feng
- SpringerLink (Online service)
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