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Furaha Marwa

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#explainable ai Open access Sep 2026

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...

Furaha Marwa · 0 citations

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