1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.CV2026★ 1 cited
Enabling clinical use of foundation models for computational pathology
Audun L Henriksen, Ole-Johan Skrede, Lisa van der Schee +31
Foundation models for computational pathology are expected to facilitate the development of high-performing, generalisable deep learning systems. However, in addition to biological…
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…