TRUE-Colon: Exposing a Consistent Transfer Asymmetry in Real-Time Polyp Detection
Computer-aided detection (CADe) systems for colonoscopy promise to reduce clinical miss rates, yet reliable real-world deployment remains elusive. This translational gap stems in part from a structural flaw in model development: the reliance on curated datasets that under-represent the long negative stretches and procedure-related artifacts characteristic of routine examinations. Training and evaluating architectures strictly on these lesion-centric benchmarks creates an illusion of success, since such benchmarks cannot capture clinically crucial metrics. To expose this gap, we establish TRUE-Colon, a standardized benchmarking protocol that measures key deployment characteristics alongsid...
| Authors | Sebastian Doerrich, Andreas Franz Schwab, Francesco Di Salvo et al. |
|---|---|
| Primary category | eess.IV |
| Published | 13 August 2026 |
| Last updated at source | 13 August 2026 |
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