ADMIL: Attention-Distilled Multiple Instance Learning for Selective Foundation Model Inference in Pathology
Attention-based multiple instance learning (ABMIL) using pathology foundation model embeddings is effective for slide-level tasks, but exhaustive inference requires applying a large image encoder to every foreground tile despite the subsequent attention distribution often concentrating over a small subset of informativ...