Extensive experiments demonstrate that MKSFA-Net consistently outperforms state-of-the-art CNN-based, Transformer-based, and hybrid segmentation models across multiple metrics, including Dice similarity coefficient (DSC), Intersection over Union (IoU), and 95% Haus Dorff Distance (HD95).
The Staged Global-to-Local Cross-Scale Fusion Network (SGLF-Net), which adopts a novel staged global-to-local learning paradigm to progressively refine segmentation from coarse global semantics to fine-grained local details, is proposed.
Tan Guo, Wen-Han Zhang, Fu-Lin Luo et al.· IEEE journal of biomedical a...· 0 citations
DMFU-Net, a spatial–frequency attention-guided segmentation framework built upon a U-Net-style architecture, is proposed, demonstrating its superior reliability in challenging small-lesion cases and its potential value for downstream clinical quantitative analysis.
Unlike existing single-scale attention-based few-shot segmentation methods that struggle to balance global semantics and local boundary details, MSHA-Net introduces a hierarchical discriminative attention framework that explicitly decouples and fuses multi-scale features through three specialized modules.
Yan-Dong Fang, Xi-Bin Jia, Hui Xu et al.· Asia Conference onAsia Confe...· 0 citations
GLNet adopts a dual-branch encoder that combines a CNN-based Local Detail Perception Branch with a Mamba-based Global Context Modeling Branch, enabling the joint extraction of fine-grained local features and long-range semantic representations.
A Multi-scale Residual Gated Attention U-Net (MRGA-UNet) for liver tumor segmentation, which achieves superior segmentation performance primarily in DSC and VOE, while maintaining competitive performance on other metrics.
Hu Huang, Ying Chen, Kun Peng et al.· Journal of imaging informati...· 0 citations
AMDF-UNet is proposed, a novel segmentation network that integrates a Boundary-Enhanced Channel-Prior Convolutional Attention (BE-CPCA) module and an Adaptive Multi-scale Dilated Fusion (AMDF) module into the U-shaped encoder-decoder architecture, thereby enabling effective segmentation of structures with diverse scale...
Min Jiao, Wen-Yong Lian, Min Tian et al.· International Conference on...· 0 citations
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