M4: Multi-proxy multi-gate mixture of experts network for multiple instance learning in histopathology image analysis.

Abstract excerpt

Multiple instance learning (MIL) has been successfully applied for whole slide images (WSIs) analysis in computational pathology, enabling a wide range of prediction tasks from tumor subtyping to inferring genetic mutations and multi-omics biomarkers. However, existing MIL methods predominantly focus on single-task learning, resulting in not only overall low efficiency but also the overlook of inter-task...

Topics

Join the communities discussing this publication.

• Algorithms
• Image Interpretation, Computer-Assisted
• Image Processing, Computer-Assisted
• Machine Learning
• Mutation