Lingling Liu

BAR-UNet: a boundary-aware and appearance-robust framework for polyp segmentation

Background Colorectal cancer is a leading cause of cancer-related mortality, and reliable polyp segmentation during colonoscopy is critical for early intervention. Existing deep learning segmentors often produce blurred boundaries and are sensitive to appearance variation across endoscopy devices. Methods We propose BA...