Probabilistic segmentation with MC dropout or a Probabilistic U-Net can produce head circumference measurements with sample-based confidence bounds and variance scores, evaluated on 540 fetal ultrasound test images.
In: Advances in Neural Information Processing Systems
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Confident Head Circumference Measurement from Ultrasound with Real-time Feedback for Sonographers
Probabilistic segmentation with MC dropout or a Probabilistic U-Net can produce head circumference measurements with sample-based confidence bounds and variance scores, evaluated on 540 fetal ultrasound test images.