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Consistency and objectivity of automated embryo assessments using deep neural networks
OBJECTIVE: To evaluate the consistency and objectivity of deep neural networks in embryo scoring and making disposition decisions for biopsy and cryopreservation in comparison to grading by highly trained embryologists. DESIGN: Prospective double-blind study using retrospective data. SETTING: U.S.-b...
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| Publicat a: | Fertil Steril |
|---|---|
| Autors principals: | , , , , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2020
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7583085/ https://ncbi.nlm.nih.gov/pubmed/32228880 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.fertnstert.2019.12.004 |
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