Artificial intelligence selection of viable oocytes from phase contrast images for in vitro maturation and fertilization
Graphical Abstract Legend: We established an artificial intelligence model to classify immature germinal vesicle oocytes as surrounded nucleolus or not surrounded nucleolus by looking only at a phase contrast image, with an accuracy close to 90%. This methodology lays the foundations for translational research in the field of human-assisted reproduction.
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Artificial intelligence selection of viable oocytes from phase contrast images for in vitro maturation and fertilization
Semantic Scholar · Biology · 2023
Abstract
Graphical Abstract Legend: We established an artificial intelligence model to classify immature germinal vesicle oocytes as surrounded nucleolus or not surrounded nucleolus by looking only at a phase contrast image, with an accuracy close to 90%. This methodology lays the foundations for translational research in the field of human-assisted reproduction.