3 papers
cs.CV2026
Development and evaluation of CADe systems in low-prevalence setting: The RARE25 challenge for early detection of Barrett's neoplasia
Tim J. M. Jaspers, Francisco Caetano, Cris H. B. Claessens +8
Computer-aided detection (CADe) of early neoplasia in Barrett's esophagus is a low-prevalence surveillance problem in which clinically relevant findings are rare. Although many CAD…
cs.CV2026
Deep Learning-Based Segmentation of Peritoneal Cancer Index Regions from CT Imaging
Pieter C. Gort, Lotte J. S. Fleurkens-Ewals, Lenah D. Kampmeijer +8
Peritoneal metastases (PM) are staged using the surgically determined Peritoneal Cancer Index (sPCI), which requires invasive laparoscopic assessment. Although CT is routinely used…
cs.CV2025
Scaling Self-Supervised and Cross-Modal Pretraining for Volumetric CT Transformers
Cris Claessens, Christiaan Viviers, Giacomo D'Amicantonio +2
We introduce SPECTRE, a fully transformer-based foundation model for volumetric computed tomography (CT). Our Self-Supervised & Cross-Modal Pretraining for CT Representation Extrac…