2 papers
cs.CV2025
Finding Holes: Pathologist Level Performance Using AI for Cribriform Morphology Detection in Prostate Cancer
Kelvin Szolnoky, Anders Blilie, Nita Mulliqi +23
Background: Cribriform morphology in prostate cancer is a histological feature that indicates poor prognosis and contraindicates active surveillance. However, it remains underrepor…
eess.IV2025
Generalisation of automatic tumour segmentation in histopathological whole-slide images across multiple cancer types
Ole-Johan Skrede, Manohar Pradhan, Maria Xepapadakis Isaksen +20
Deep learning is expected to aid pathologists by automating tasks such as tumour segmentation. We aimed to develop one universal tumour segmentation model for histopathological ima…