AE-CCAF: Cross-Attention Guided Ensemble Learning for Robust Multi-Class Skin Lesion Classification
Proper and early classification of skin lesions is crucial for the effective diagnosis of melanoma, but remains challenging due to class imbalance, class similarity, and artefacts in dermoscopic images. This paper proposes AE-CCAF, an adaptive ensemble framework that combines heterogeneous deep backbones with a cross-a...