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Deep learning methods to forecasting human embryo development in time-lapse videos

2024-03-06

Abstract excerpt

<h4>Background</h4> In assisted reproductive technology, evaluating the quality of the embryo is crucial when selecting the most viable embryo for transferring to a woman. Assessment also plays an important role in determining the optimal transfer time, either in the cleavage stage or in the blastocyst stage. Several AI-based tools exist to automate the assessment process. However, none of the existing tools pred...

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Literature Corpus work
4d19c751-e48c-51a7-81ff-2b0c7bf8699a
DOI
10.1101/2024.03.04.583269
Open publication

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