AI RESEARCH

Understanding Model Behavior in Monocular Polyp Sizing

arXiv CS.CV

ArXi:2605.20461v1 Announce Type: new Accurate polyp size stratification guides surveillance decisions, with lesions larger than 5 mm typically requiring closer follow-up. However, monocular colonoscopy lacks a reliable metric reference. We present a diagnostic audit of binary polyp size classification (<=5 mm vs. >5 mm) across multiple public multi-center datasets, model families, and patient-stratified cross-validation.