External validation of a model for selecting day 3 embryos for transfer based upon deep learning and time-lapse imaging
Author:
Publisher
Elsevier BV
Subject
Developmental Biology,Reproductive Medicine,Obstetrics and Gynecology
Reference30 articles.
1. Improved implantation rates of day 3 embryo transfers with the use of an automated time-lapse-enabled test to aid in embryo selection;Adamson;Fertil. Steril.,2016
2. Istanbul consensus workshop on embryo assessment: proceedings of an expert meeting;Reprod. Biomed. Online.,2011
3. The use of morphokinetics as a predictor of implantation: a multicentric study to define and validate an algorithm for embryo selection;Basile;Hum. Reprod.,2015
4. Robust and generalizable embryo selection based on artificial intelligence and time-lapse image sequences;Berntsen;PLoS. One.,2022
5. M. Focused time-lapse analysis reveals novel aspects of human fertilization and suggests new parameters of embryo viability;Coticchio;Hum. Reprod.,2018
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1. Correlations between a deep learning-based algorithm for embryo evaluation with cleavage-stage cell numbers and fragmentation;Reproductive BioMedicine Online;2023-12
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