1 citations · 2 across the 2 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.IV2022★ 1 cited
Ensuring accurate stain reproduction in deep generative networks for virtual immunohistochemistry
Christopher D. Walsh, Joanne Edwards, Robert H. Insall
Immunohistochemistry is a valuable diagnostic tool for cancer pathology. However, it requires specialist labs and equipment, is time-intensive, and is difficult to reproduce. Conse…