Amaro Taylor-Weiner

Additive MIL: Intrinsically Interpretable Multiple Instance Learning for Pathology

Multiple Instance Learning (MIL) has been widely applied in pathology towards solving critical problems such as automating cancer diagnosis and grading, predicting patient prognosis, and therapy response. Deploying these models in a clinical setting requires careful inspection of these black boxes d…