2 papers
cs.CV2025
Histology-informed tiling of whole tissue sections improves the interpretability and predictability of cancer relapse and genetic alterations
Willem Bonnaffé, Yang Hu, Andrea Chatrian +12
Histopathologists establish cancer grade by assessing histological structures, such as glands in prostate cancer. Yet, digital pathology pipelines often rely on grid-based tiling t…
q-bio.QM2023
Beyond attention: deriving biologically interpretable insights from weakly-supervised multiple-instance learning models
Willem Bonnaffé, CRUK ICGC Prostate Group, Freddie Hamdy +5
Recent advances in attention-based multiple instance learning (MIL) have improved our insights into the tissue regions that models rely on to make predictions in digital pathology.…