Shallow artificial networks with morphokinetic time‐lapse parameters coupled to ART data allow to predict live birth

PURPOSE: The purpose of this work was to construct shallow neural networks (SNN) using time‐lapse technology (TLT) from morphokinetic parameters coupled to assisted reproductive technology (ART) parameters in order to assist the choice of embryo(s) to be transferred with the highest probability of a...

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Detalles Bibliográficos
Autores principales: Benchaib, Mehdi, Labrune, Elsa, Giscard d'Estaing, Sandrine, Salle, Bruno, Lornage, Jacqueline
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9601773/
https://www.ncbi.nlm.nih.gov/pubmed/36310657
http://dx.doi.org/10.1002/rmb2.12486

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9601773/
https://www.ncbi.nlm.nih.gov/pubmed/36310657
http://dx.doi.org/10.1002/rmb2.12486

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