A Quantitative Explainability Framework for Multimodal Tuberculosis Screening Using Late Fusion and Quadrant-Based Grad-CAM
Tuberculosis (TB) remains a major global health challenge, particularly in resource-constrained settings where timely access to expert radiological interpretation is limited. Although artificial intelligence (AI)-based chest X-ray (CXR) screening systems have demonstrated promising diagnostic performance, limited expla...