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Automatic Ploidy Prediction and Quality Assessment of Human Blastocyst Using Time-Lapse Imaging

2023-09-02

Abstract excerpt

Assessing fertilized human embryos is crucial for in vitro-fertilization (IVF), a task being revolutionized by artificial intelligence and deep learning. Existing models used for embryo quality assessment and chromosomal abnormality (ploidy) detection could be significantly improved by effectively utilizing time-lapse imaging to identify critical developmental time points for maximizing prediction accuracy. Addres...

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Literature Corpus work
7307846a-21ac-5bda-a65d-726e384d6962
DOI
10.1101/2023.08.31.555741
Open publication

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Automatic Ploidy Prediction and Quality Assessment of Human Blastocyst Using Time-Lapse ImagingDOI 10.1101/2023.08.31.555741
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