Correlation between an annotation-free embryo scoring system based on deep learning and live birth/neonatal outcomes after single vitrified-warmed blastocyst transfer: a single-centre, large-cohort retrospective study

PROPOSE: Does an annotation-free embryo scoring system based on deep learning and time-lapse sequence images correlate with live birth (LB) and neonatal outcomes? METHODS: Patients who underwent SVBT cycles (3010 cycles, mean age: 39.3 ± 4.0). Scores were calculated using the iDAScore software modul...

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Detalles Bibliográficos
Autores principales: Ueno, Satoshi, Berntsen, Jørgen, Ito, Motoki, Okimura, Tadashi, Kato, Keiichi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Assisted Reproduction Technologies
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9475010/
https://www.ncbi.nlm.nih.gov/pubmed/35881272
http://dx.doi.org/10.1007/s10815-022-02562-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9475010/
https://www.ncbi.nlm.nih.gov/pubmed/35881272
http://dx.doi.org/10.1007/s10815-022-02562-5

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