Building Interpretable & Explainable Prognostic Models for Digital Pathology

• Interpretable and explainable models can teach us about disease and increase user trust
• These goals can be achieved without compromising accuracy
• Showcasing illustrative applications in breast cancer and meningioma

Speakers:

Lee Cooper

Professor & Director, Computational Division, Department of Pathology

Northwestern University