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Article

Delineating the heterogeneity of embryo preimplantation development using automated and accurate morphokinetic annotation

1 Jun 2023

Abstract excerpt

PURPOSE: Our objective was to design an automated deep learning model that extracts the morphokinetic events of embryos that were recorded by time-lapse incubators. Using automated annotation, we set out to characterize the temporal heterogeneity of preimplantation development across a large number of embryos. METHODS: To perform a retrospective study, we used a dataset of video files of 67,707 embryos from four...

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PMID: 37300648
DOI: 10.1007/s10815-023-02806-y

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