This project implements a state-of-the-art skin cancer classification system that combines Convolutional Neural Networks (EfficientNetV2, ConvNeXtV2) with Vision Transformers (ViT, Swin Transformer) through an adaptive attention-based fusion mechanism. The system classifies dermoscopic images into 7 skin lesion categories from the HAM10000 datas…
☆12Mar 2, 2026Updated last month
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