Deep Learning-Based Detection of Sessile Serrated Lesions in Colonoscopy Images: Optimization of a YOLOv3 Framework With Mucus Cap Feature Enhancement for Sessile Serrated Lesion Detection.
BACKGROUND AND AIM Sessile serrated lesions (SSLs) are difficult to detect during colonoscopy via standard white-light imaging (WLI) because they are flat, have indistinct borders, and are often hidden by mucus caps. Although narrowband imaging (NBI) can help, its effectiveness is inconsistent. This study evaluated the...