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A Structure-Aware Self-Supervised Framework for Transferable Fetal Ultrasound Screening

Zhu, Y. et al.
bioRxiv / medRxiv · Papers
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obstetrics-and-gynecology
Accurate prenatal screening from ultrasound imaging is severely constrained by the extreme spatial heterogeneity of fetal structures and the data scarcity inherent to rare congenital anomalies. To overcome these computational bottlenecks, we present RadarMAE, a data-efficient self-supervised represe
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