A Multiple Instance Learning Framework for Robust and Explainable Medical Diagnosis

A multiple instance learning (MIL) framework can effectively select the most discriminative image patches to perform robust and explainable medical diagnosis, without compromising performance compared to standard CNN and ViT models.