Multimodal Learning Approaches for Colorectal Cancer

This workshop proposal focuses on multimodal approaches for colorectal cancer, integrating whole-slide histopathology images with non-image clinical and molecular data. The workshop aims to explore state-of-the-art fusion techniques, discuss methodological challenges, and highlight emerging opportunities for developing robust, explainable, and clinically relevant multimodal models. It is intended to bring together researchers working at the intersection of digital pathology, medical imaging, machine learning, and clinical data integration.