Enhancing clinical utility: deep learning-based embryo scoring model for non-invasive aneuploidy prediction
- 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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Enhancing clinical utility: deep learning-based embryo scoring model for non-invasive aneuploidy prediction ; volume:22 ; number:1 ; day:22 ; month:5 ; year:2024 ; pages:1-7 ; date:12.2024
Reproductive biology and endocrinology ; 22, Heft 1 (22.5.2024), 1-7, 12.2024
- Urheber
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Ma, Bing-Xin
Zhao, Guang-Nian
Yi, Zhi-Fei
Yang, Yong-Le
Jin, Lei
Huang, Bo
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1186/s12958-024-01230-w
- URN
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urn:nbn:de:101:1-2408011323333.875775797012
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
14.08.2025, 11:01 MESZ
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Beteiligte
- Ma, Bing-Xin
- Zhao, Guang-Nian
- Yi, Zhi-Fei
- Yang, Yong-Le
- Jin, Lei
- Huang, Bo
- SpringerLink (Online service)
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