Interpretable multimodal fusion for skin lesion classification using dermoscopic images and patient metadata
Introduction Accurate and early classification of skin lesions is essential for the early detection of disease and improved clinical outcomes. However, automated multiclass classification is still hindered by severe class imbalance, high inter-class visual similarity, and the comparatively under-explored use of complem...