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Improving mpox identification under imbalanced data using geometric transformation and color augmentation with graph neural networks

Mpox lesion identification from skin images remains challenging because lesion appearances often overlap with other dermatological diseases and available data are commonly imbalanced. This study proposes a graph-based multi-class classification framework that combines class-balancing augmentation, convolutional neural...