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Robust and generalizable embryo selection based on artificial intelligence and time-lapse image sequences
Assessing and selecting the most viable embryos for transfer is an essential part of in vitro fertilization (IVF). In recent years, several approaches have been made to improve and automate the procedure using artificial intelligence (AI) and deep learning. Based on images of embryos with known impl...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8809568/ https://www.ncbi.nlm.nih.gov/pubmed/35108306 http://dx.doi.org/10.1371/journal.pone.0262661 |