Hybrid Transformer Encoder-Decoder Framework with Collective Deep Learning for Semantic Skin-Lesion Segmentation
Accurate skin-lesion segmentation remains difficult because dermoscopic images often contain low contrast, irregular borders, hair, illumination variation, and heterogeneous lesion appearance. This study proposes a hybrid Transformer encoder-decoder framework with collective deep learning to combine global contextual m...