Using deep learning to predict the outcome of live birth from more than 10,000 embryo data
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1471-2393
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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online resource.
- Erschienen in
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Using deep learning to predict the outcome of live birth from more than 10,000 embryo data ; volume:22 ; number:1 ; day:16 ; month:1 ; year:2022 ; pages:1-7 ; date:12.2022
BMC pregnancy and childbirth ; 22, Heft 1 (16.1.2022), 1-7, 12.2022
- Urheber
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Huang, Bo
Zheng, Shunyuan
Ma, Bingxin
Yang, Yongle
Zhang, Shengping
Jin, Lei
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1186/s12884-021-04373-5
- URN
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urn:nbn:de:101:1-2022042921345281130765
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:27 MESZ
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Beteiligte
- Huang, Bo
- Zheng, Shunyuan
- Ma, Bingxin
- Yang, Yongle
- Zhang, Shengping
- Jin, Lei
- SpringerLink (Online service)
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