2 papers
cs.CV2025
DA-SSL: self-supervised domain adaptor to leverage foundational models in turbt histopathology slides
Haoyue Zhang, Meera Chappidi, Erolcan Sayar +11
Recent deep learning frameworks in histopathology, particularly multiple instance learning (MIL) combined with pathology foundational models (PFMs), have shown strong performance.…
cs.CV2025
GRASP: GRAph-Structured Pyramidal Whole Slide Image Representation
Ali Khajegili Mirabadi, Graham Archibald, Amirali Darbandsari +9
Cancer subtyping is one of the most challenging tasks in digital pathology, where Multiple Instance Learning (MIL) by processing gigapixel whole slide images (WSIs) has been in the…