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Author

Zhen-Wei Shi

3 papers indexed here

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Review Oct 2026

A Concept-informed Interpretable Artificial Intelligence Framework for Breast Ultrasound Diagnosis

Most existing artificial intelligence systems for breast ultrasound rely primarily on image-driven prediction, with limited incorporation of the knowledge from the Breast Imaging Reporting and Data System (BI-RADS) and the intermediate assessment processes underlying radiologists'workflow, thereby constraining their in...

Sheng-Zhou Zhong, Zi-Yi Wang, Lian-Fu Li et al. · 0 citations
Sep 2026

3D UXFormer: Dual-Branch Feature Fusion for Precise Breast MRI Multi-Tissue Segmentation.

A novel 3D UXFormer model is introduced that combines the 3D UNET and Vision Transformer (ViT) through a dual-branch structure, capitalizing on the 3D UNET's local feature extraction prowess and ViT's global feature-capturing ability.

Xiao-Dong Zheng, Zhi-Tao Wei, Si-Yao Du et al. · 0 citations
Conference Oct 2026

SAKD-SAM: efficient breast tumor MRI segmentation via self-attention knowledge distillation and 3D sparse flash attention

Segmenting breast tumors in magnetic resonance imaging (MRI) is a critical step in computer-aided diagnosis. Recently, the Segment Anything Model (SAM) has demonstrated remarkable potential in medical image segmentation. However, the immense parameter size and heavy computational burden of SAM's Transformer-based archi...

Xiang-Bin Luo, Chuan-Song Fan, Zhen-Wei Shi et al. · 0 citations

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