3 papers
cs.CV2026
Vision-Language Models as Zero-Annotation Oracles in Histopathology
Vishal Jain, Giorgio Buzzanca, Sarah Cechnicka +6
Foreground segmentation is the critical first step of every computational pathology pipeline, yet existing methods rely on hand-tuned heuristics or supervised models that overfit t…
cs.CV2025
PathBench-MIL: A Comprehensive AutoML and Benchmarking Framework for Multiple Instance Learning in Histopathology
Siemen Brussee, Pieter A. Valkema, Jurre A. J. Weijer +3
We introduce PathBench-MIL, an open-source AutoML and benchmarking framework for multiple instance learning (MIL) in histopathology. The system automates end-to-end MIL pipeline co…
cs.CV2024
Advances in Kidney Biopsy Lesion Assessment through Dense Instance Segmentation
Zhan Xiong, Junling He, Pieter Valkema +4
Renal biopsies are the gold standard for the diagnosis of kidney diseases. Lesion scores made by renal pathologists are semi-quantitative and exhibit high inter-observer variabilit…