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DACL achieves unprecedented accuracy in fetal ultrasound segmentation with minimal labeled data by leveraging dual-agreement consistency learning.
Clinician-centered evaluations reveal that later active learning models are preferred, underscoring the importance of usability in ultrasound AI systems.
