Colorectal cancer is a leading cause of cancer-related deaths globally, predominately developing from adenomatous polyps. While colonoscopy is the gold standard for polyp detection, it suffers from a miss rate of 26% due to operator fatigue and visual variability. This study aims to develop a real-time Computer-Aided Diagnosis (CADx) system for polyp segmentation using the efficient YOLOv11-Seg…