HBTMNet: A Tri-Hybrid Boundary-Aware Transformer Mamba Network for Precise Skin Lesion Segmentation
Accurate automated segmentation of melanoma from dermoscopic images remains a critical challenge in computer-aided diagnosis pipelines due to high intra-class diversity, fuzzy lesion boundaries, and structural artifacts. Conventional deep learning frameworks, including convolutional neural networks, vision transformers...