This study aims to develop a multiclass instance segmentation model based on Mask RCNN to identify anatomical structures of the normal fetal heart in four-chamber view (4CV) ultrasound images. The background of this research stems from the urgent need for early detection of congenital heart disease (CHD), one of the leading causes of neonatal mortality, combined with the limited availability of…