Author

Zhe-Yang Jing

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Preprint Aug 2026

CDGC-Net: 3D Medical Image Segmentation with Cooperative Dual-Scale Self-Attention and Grouped Channel Modeling

CDGC-Net, a 3D medical image segmentation network that combines cooperative dual-scale spatial attention with grouped hierarchical channel modeling, achieves mean DSC values on the Synapse, ACDC, BraTS, and LA datasets, indicating a favorable trade-off between segmentation accuracy and computational complexity.

Zhe-Yang Jing, Qin Lu, Jianwang Li et al. · 0 citations

#artificial intelligence Preprint Sep 2026

SAUF-Net: Structure--Appearance Representation Learning with Uncertainty Feedback for Semi-Supervised Medical Image Segmentation

SAUF-Net is proposed, a Structure--Appearance Representation Learning with Uncertainty Feedback Network for semi-supervised medical image segmentation that outperforms state-of-the-art semi-supervised methods, especially under low-label settings.

Qin Lu, Zhe-Yang Jing, Yu-Jie Yang et al. · 0 citations

Jul 2026

LiT-WSAG: high-precision 3D liver tumor segmentation via 2D training and 3D reconstruction.

Results indicate that LiT‑WSAG delivers robust 3D liver tumor segmentation from 2D supervision, balancing boundary accuracy, noise robustness, and computational efficiency.

Chen Yi, Yuxin Li, Shu-hang Cao et al. · La Radiologia medica · 0 citations