Machine-learning-based automatic identification of fetal abdominal circumference from ultrasound images

Abstract

Our method achieved a Dice similarity metric of [Formula: see text] for AC measurement and an accuracy of 87.10% for our acceptance check of the fetal abdominal standard plane.