3 papers
cs.CV2026
Benchmarking Vision-Language Models for Automated Pathology Diagnosis and Report Generation
Yumi Lee, Harim Oh, Hyoryung Kim +52
The rapid advancement of vision-language models (VLMs) has accelerated progress in computational pathology; however, whole-slide image (WSI)-based pathology report generation remai…
cs.CV2026
VEELA: A Clinically-Constrained Benchmark for Liver Vessel Segmentation in Computed Tomography Angiography
Ziya Ata Yazıcı, N. Sinem Gezer, İlkay Öksüz +19
Accurate segmentation of hepatic and portal vessels in contrast-enhanced computed tomography angiography (CTA) remains challenging due to complex vascular topology, peripheral visi…
eess.IV2026
Automated Histopathology Report Generation via Pyramidal Feature Extraction and the UNI Foundation Model
Ahmet Halici, Ece Tugba Cebeci, Musa Balci +2
Generating diagnostic text from histopathology whole slide images (WSIs) is challenging due to the gigapixel scale of the input and the requirement for precise, domain specific lan…