arXiv cs.CV
· Papers
SAGE: Semantic Explainability of Attention-Based Survival Models in Computational Pathology
arXiv:2608.02803v1 Announce Type: new Abstract: Attention-based multiple instance learning (ABMIL) is the predominant approach for slide-level prediction in computational pathology, yet its attention maps provide only local explanations: they indicate where a model focuses but not which histological features drive its