SCAR-Net-assisted ultrasound diagnosis of postoperative scars and recurrent lesions in breast cancer

< 0.001). The model also demonstrated superior segmentation accuracy with Dice coefficients of 0.918-0.925 compared to traditional methods (0.795-0.811). These results suggest SCAR-Net could serve as a valuable auxiliary tool for improving early recurrence detection in postoperative breast cancer follow-up, potentially reducing unnecessary biopsies and enabling more timely interventions.