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Book Open access Nov 2026

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...

Pan-Pan Wu, Linda Ren, Zi-Ping Zhao et al. · 0 citations
Jul 2026

EEA-UNet: An efficient element-wise adaptive attention-based network for abdominal multi-organ segmentation

This work designs an efficient element-wise adaptive (EEA) attention mechanism integrated into the skip connections to enhance inter-organ feature interactions while maintaining computational efficiency in an efficient abdominal multi-organ segmentation model, EEA-UNet.

Pan-Pan Wu, Run-Peng Guo, Zi-Ping Zhao et al. · 0 citations

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