Segmentation of mature human oocytes provides interpretable and improved blastocyst outcome predictions by a machine learning model
- 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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Segmentation of mature human oocytes provides interpretable and improved blastocyst outcome predictions by a machine learning model ; volume:14 ; number:1 ; day:8 ; month:5 ; year:2024 ; pages:1-14 ; date:12.2024
Scientific reports ; 14, Heft 1 (8.5.2024), 1-14, 12.2024
- Urheber
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Fjeldstad, Jullin
Qi, Weikai
Siddique, Nadia
Mercuri, Natalie
Nayot, Dan
Krivoi, Alex
- Beteiligte Personen und Organisationen
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SpringerLink (Online service)
- DOI
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10.1038/s41598-024-60901-1
- URN
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urn:nbn:de:101:1-2407172122431.960967290107
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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14.08.2025, 11:00 MESZ
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Beteiligte
- Fjeldstad, Jullin
- Qi, Weikai
- Siddique, Nadia
- Mercuri, Natalie
- Nayot, Dan
- Krivoi, Alex
- SpringerLink (Online service)
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