Evaluation of oocyte maturity using artificial intelligence quantification of follicle volume biomarker by three-dimensional ultrasound

Can a novel deep learning-based follicle volume biomarker using three-dimensional ultrasound (3D-US) be established to aid in the assessment of oocyte maturity, timing of HCG administration and the individual prediction of ovarian hyper-response? A total of 515 IVF cases were enrolled, and 3D-US sca...

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Veröffentlicht in:	Reproductive biomedicine online 2022-12, Vol.45 (6), p.1197-1206
Hauptverfasser:	Liang, Xiaowen, Liang, Jiamin, Zeng, Fengyi, Lin, Yan, Li, Yuewei, Cai, Kuan, Ni, Dong, Chen, Zhiyi
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial intelligence Follicular monitoring Oocyte maturation Ovarian reserve Three-dimensional ultrasound
Online-Zugang:	Volltext
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