JI-ADF fuses three modalities with adaptive decision fusion and a multimodal attention module to achieve balanced, well-calibrated performance on the imbalanced MILK10k skin lesion benchmark.
An attention-based mechanism to combine images and metadata in deep learn- ing models applied to skin cancer classification,
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JI-ADF: Joint-Individual Learning with Adaptive Decision Fusion for Multimodal Skin Lesion Classification
JI-ADF fuses three modalities with adaptive decision fusion and a multimodal attention module to achieve balanced, well-calibrated performance on the imbalanced MILK10k skin lesion benchmark.