3 papers
cs.CV2026
Unlocking Generalization in Polyp Segmentation with DINO Self-Attention "keys"
Carla Monteiro, Valentina Corbetta, Regina Beets-Tan +2
Automatic polyp segmentation is crucial for improving the clinical identification of colorectal cancer (CRC). While Deep Learning (DL) techniques have been extensively researched f…
cs.CV2025
Integrating Pathology and CT Imaging for Personalized Recurrence Risk Prediction in Renal Cancer
Daniël Boeke, Cedrik Blommestijn, Rebecca N. Wray +8
Recurrence risk estimation in clear cell renal cell carcinoma (ccRCC) is essential for guiding postoperative surveillance and treatment. The Leibovich score remains widely used for…
cs.CV2025
In-hoc Concept Representations to Regularise Deep Learning in Medical Imaging
Valentina Corbetta, Floris Six Dijkstra, Regina Beets-Tan +3
Deep learning models in medical imaging often achieve strong in-distribution performance but struggle to generalise under distribution shifts, frequently relying on spurious correl…