GRAFNeT: Guided Recursive Attention Fusion Network for Multimodal Medical Imaging

This study introduces GRAFNeT (Guided Recursive Attention Fusion Network for Multimodal Medical Imaging), a novel multi-stage image fusion framework designed to achieve high-quality multi-modal integration with minimal computational overhead. The framework employs CNN feature extraction and attention modules, followed by an iterative refinement of fusion parameters at inference time. The methodology begins with adaptive weight normalization to dynamically balance modality contributions and redun