Advancing Multimodal Fusion on Heterogeneous Medical Data with Hybrid Geometry Attention
A novel MFL framework – Cascaded Unified Representation Learning for Efficient Fusion Network (CURE) – a lightweight and scalable framework that progressively integrates various modalities through a novel efficient Hybrid Geometry Aware Fusion layer (HyFuse), where each HyFuse layer is sequentially learned for each mod...