Using deep learning to predict the outcome of live birth from more than 10,000 embryo data

BACKGROUND: Recently, the combination of deep learning and time-lapse imaging provides an objective, standard and scientific solution for embryo selection. However, the reported studies were based on blastocyst formation or clinical pregnancy as the end point. To the best of our knowledge, there is...

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Detalles Bibliográficos
Autores principales: Huang, Bo, Zheng, Shunyuan, Ma, Bingxin, Yang, Yongle, Zhang, Shengping, Jin, Lei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8761300/
https://www.ncbi.nlm.nih.gov/pubmed/35034623
http://dx.doi.org/10.1186/s12884-021-04373-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8761300/
https://www.ncbi.nlm.nih.gov/pubmed/35034623
http://dx.doi.org/10.1186/s12884-021-04373-5

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