SGDA-Net: Interpretable Medical Image Segmentation via Second-Order Weighted Graph Convolution and Dynamic Agent Attention
Medical images constitute a class of highly complex visual multimedia data, where accurate segmentation heavily relies on the synergistic modeling of global semantics and fine-grained local details. However, existing deep learning methods often fall short in depicting complex geometric morphologies and facilitating eff...