3 papers
cs.CV2026
Deep Learning-Based Segmentation of Peritoneal Cancer Index Regions from CT Imaging
Pieter C. Gort, Lotte J. S. Ewals, Marion W. Tops-Welten +3
Peritoneal metastases are currently assessed using diagnostic laparoscopy to determine Sugarbaker's Peritoneal Cancer Index (sPCI), which works by dividing the abdomen into 13 regi…
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
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…