3 papers
cs.AI2026
Integrating Implicit and Explicit Relational Biases through Graph-Based Multiple Instance Learning: A Case Study in Skin Lesion Diagnosis
Rafał Buler, Jakub Buler, Maciej Bobowicz +1
Relational inductive biases are essential for capturing structural dependencies among data. This study investigates a dual-level relational framework for image classification, brid…
cs.CV2026
Robust Multicentre Detection and Classification of Colorectal Liver Metastases on CT: Application of Foundation Models
Shruti Atul Mali, Zohaib Salahuddin, Yumeng Zhang +10
Colorectal liver metastases (CRLM) are a major cause of cancer-related mortality, and reliable detection on CT remains challenging in multi-centre settings. We developed a foundati…
cs.CV2025
Federated nnU-Net for Privacy-Preserving Medical Image Segmentation
Grzegorz Skorupko, Fotios Avgoustidis, Carlos Martín-Isla +11
The nnU-Net framework has played a crucial role in medical image segmentation and has become the gold standard in multitudes of applications targeting different diseases, organs, a…