Development and validation of deep learning based embryo selection across multiple days of transfer

This work describes the development and validation of a fully automated deep learning model, iDAScore v2.0, for the evaluation of human embryos incubated for 2, 3, and 5 or more days. We trained and evaluated the model on an extensive and diverse dataset including 181,428 embryos from 22 IVF clinics...

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Detalles Bibliográficos
Autores principales: Theilgaard Lassen, Jacob, Fly Kragh, Mikkel, Rimestad, Jens, Nygård Johansen, Martin, Berntsen, Jørgen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10015019/
https://www.ncbi.nlm.nih.gov/pubmed/36918648
http://dx.doi.org/10.1038/s41598-023-31136-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10015019/
https://www.ncbi.nlm.nih.gov/pubmed/36918648
http://dx.doi.org/10.1038/s41598-023-31136-3

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