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End-to-end deep learning for recognition of ploidy status using time-lapse videos
PURPOSE: Our retrospective study is to investigate an end-to-end deep learning model in identifying ploidy status through raw time-lapse video. METHODS: By randomly dividing the dataset of time-lapse videos with known outcome of preimplantation genetic testing for aneuploidy (PGT-A), a deep learning...
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| Publicado no: | J Assist Reprod Genet |
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| Main Authors: | , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer US
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8324635/ https://ncbi.nlm.nih.gov/pubmed/34021832 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10815-021-02228-8 |
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