MCPNet: Morphological Constraint‐Based Copy‐Paste Network for Semi‐Supervised Foetal Head Segmentation

The foetal head's automatic segmentation from ultrasound imagery is considered a key step in prenatal examination. However, achieving high‐quality semi‐supervised foetal head image segmentation remains challenging due to low image resolution, unclear boundaries, and inconsistencies between labelled and unlabelled data.