A multi-task Link-Net that jointly segments fetal head ultrasound images and regresses ellipse parameters achieves 96.84 Dice score, improving on its single-task version and matching prior automated methods.
Evaluation and comparison of current fetal ultrasound image segmentation methods for biometric measurements: a grand challenge,
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Fetal Ultrasound Image Segmentation for Measuring Biometric Parameters Using Multi-Task Deep Learning
A multi-task Link-Net that jointly segments fetal head ultrasound images and regresses ellipse parameters achieves 96.84 Dice score, improving on its single-task version and matching prior automated methods.