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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2022
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| Materias: | |
| 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 |