3 papers
cs.CV2026
Reliable Mislabel Detection for Video Capsule Endoscopy Data
Julia Werner, Julius Oexle, Oliver Bause +5
The classification performance of deep neural networks relies strongly on access to large, accurately annotated datasets. In medical imaging, however, obtaining such datasets is pa…
cs.CV2025
Seeing More with Less: Video Capsule Endoscopy with Multi-Task Learning
Julia Werner, Oliver Bause, Julius Oexle +4
Video capsule endoscopy has become increasingly important for investigating the small intestine within the gastrointestinal tract. However, a persistent challenge remains the short…
cs.CV2025
Enhanced Anomaly Detection for Capsule Endoscopy Using Ensemble Learning Strategies
Julia Werner, Christoph Gerum, Jorg Nick +4
Capsule endoscopy is a method to capture images of the gastrointestinal tract and screen for diseases which might remain hidden if investigated with standard endoscopes. Due to the…