P–245 Machine learning predicting oocyte’s fertilization and blastocyst potential based on morphological features
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DOI: 10.1093/humrep/deab130.244
Abstract: Can machine learning (ML) predict oocyte’s fertilization and blastocyst development potential based on morphological features extracted from single static images? AI accurately predicted 70.4% of fertilization and 60.4% of blastocyst development outcomes from a database… read more here.
Keywords: machine; fertilization; fertilization blastocyst; morphological features ... See more keywords