4 citations · 4 across the 2 of their papers we have counts for
2 papers
eess.IV2026
Scanner-Induced Domain Shifts Undermine the Robustness of Pathology Foundation Models
Erik Thiringer, Fredrik K. Gustafsson, Kajsa Ledesma Eriksson +1
Pathology foundation models (PFMs) have become central to computational pathology, aiming to offer general encoders for feature extraction from whole-slide images (WSIs). Despite s…
eess.IV2022★ 4 cited
ACROBAT -- a multi-stain breast cancer histological whole-slide-image data set from routine diagnostics for computational pathology
Philippe Weitz, Masi Valkonen, Leslie Solorzano +15
The analysis of FFPE tissue sections stained with haematoxylin and eosin (H&E) or immunohistochemistry (IHC) is an essential part of the pathologic assessment of surgically resecte…