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Time-Lapse Imaging

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Consistency and objectivity of automated embryo assessments using deep neural networks.

Fertility and sterility Apr 1, 2020
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.
Humans Neural Networks, Computer Prospective Studies Retrospective Studies Deep Learning Double-Blind Method Embryo, Mammalian Time-Lapse Imaging Embryology
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Embryo through the lens: from time-lapse cinematography to artificial intelligence.

Fertility and sterility Feb 1, 2020
"Once a new technology rolls over you, if you're not part of the steamroller, you're part of the road." -Stewart Brand.
Humans Artificial Intelligence Pregnancy Female Animals Male Time Factors Image Processing, Computer-Assisted Fertilization in Vitro Embryo, Mammalian Embryo Culture Techniques Time-Lapse Imaging Microscopy, Video
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Deep learning as a predictive tool for fetal heart pregnancy following time-lapse incubation and blastocyst transfer.

Human reproduction (Oxford, England) Jun 4, 2019
STUDY QUESTION: Can a deep learning model predict the probability of pregnancy with fetal heart (FH) from time-lapse videos?
Humans Prospective Studies Retrospective Studies Pregnancy Female Young Adult Adult Middle Aged Deep Learning ROC Curve Image Processing, Computer-Assisted Embryo Transfer Pregnancy Rate Treatment Outcome Embryo Implantation Predictive Value of Tests Time-Lapse Imaging Infertility Fetal Heart
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