Hybrid deep learning framework MedFusionNet assists multilabel biomedical risk stratification from imaging and tabular data

MedFusionNet provides an effective and scalable solution for multi-label medical image classification and cancer risk stratification. By integrating multi-modal information and advanced architectural components, it improves predictive performance while maintaining high interpretability, making it well-suited for real-world clinical applications.