2 papers
cs.CV2026
ADMIL: Attention-Distilled Multiple Instance Learning for Selective Foundation Model Inference in Pathology
Duncan Stothers, Ren-Chin Wu, William Lotter
Attention-based multiple instance learning (ABMIL) using pathology foundation model embeddings is effective for slide-level tasks, but exhaustive inference requires applying a larg…
cs.CV2026
SAGE: Semantic Explainability of Attention-Based Survival Models in Computational Pathology
Abdallah Lamane, Abdul Rahman Diab, Ren-Chin Wu +1
Attention-based multiple instance learning (ABMIL) is the predominant approach for slide-level prediction in computational pathology, yet its attention maps provide only local expl…