Automatic Ploidy Prediction and Quality Assessment of Human Blastocyst Using Time-Lapse Imaging
Suraj Rajendran,
Matthew Brendel,
Josue Barnes
et al.
Abstract: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. Addressing this, we developed and compared various embryo ploidy status prediction models across distinc… Show more
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