A skewness-guided pruning method removes skin-tone-related components in skin lesion classifiers, improving fairness and reducing computational cost.
ViT-B16 processes input images by dividing them into 16×16 patches
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Enhancing Fairness in Skin Lesion Classification for Medical Diagnosis Using Prune Learning
A skewness-guided pruning method removes skin-tone-related components in skin lesion classifiers, improving fairness and reducing computational cost.