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Author

Xuehua Song

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Open access Aug 2026

A Semi-Supervised 3D CCTA Coronary Artery Segmentation Approach Based on Perturbation Consistency and Discrepancy-Aware Weighting

Although coronary CT angiography (CCTA) is widely utilized for diagnosing coronary artery disease (CAD), automated CCTA image segmentation is frequently hindered by sparse annotations, pseudo-label noise, and under-delineated fine branches. To mitigate these issues, we present PCDW-Net, a semi-supervised segmentation f...

Yanyu Chen, Xinyu Zhang, Ziteng Yu et al. · 0 citations
Open access Jul 2026

Semi-Supervised Image Segmentation via Heterogeneous Dual-Teacher Mechanism and Multi-Directional Feature Modeling

This work proposes DTCL-Swin-UMamba, a novel Swin-UMamba backbone that fuses global context from Swin Transformer with linear-complexity long-range dependency learning from Mamba to address label scarcity and anisotropic structural distortion from unidirectional modeling in semi-supervised cardiac MRI segmentation.

Cheng-Yi Wang, Xinyu Zhang, Chang-Jie Guan et al. · 0 citations

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