Shu-Xian Liu

A boundary-semantic synergy learning network for breast ultrasound lesion segmentation

Breast ultrasound (BUS) image segmentation remains challenging due to speckle noise, blurred lesion boundaries, and substantial variations in lesion scale. To address these issues, we propose a Dual-branch Semantic-Aware Segmentation Network (D-SAS) that enhances lesion representation through boundary enhancement, mu...