most citedSTM-UNet: An Efficient U-shaped Architecture Based on Swin Transformer and Multi-scale MLP for Medical Image Segmentation

1 citations · 1 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2025

Uncertainty-Aware Extreme Point Tracing for Weakly Supervised Ultrasound Image Segmentation

Lei Shi, Gang Li, Junxing Zhang

Automatic medical image segmentation is a fundamental step in computer-aided diagnosis, yet fully supervised approaches demand extensive pixel-level annotations that are costly and…

cs.CV2025

DEPT: Deep Extreme Point Tracing for Ultrasound Image Segmentation

Lei Shi, Xi Fang, Naiyu Wang +1

Automatic medical image segmentation plays a crucial role in computer aided diagnosis. However, fully supervised learning approaches often require extensive and labor-intensive ann…

eess.IV2023★ 1 cited

STM-UNet: An Efficient U-shaped Architecture Based on Swin Transformer and Multi-scale MLP for Medical Image Segmentation

Lei Shi, Tianyu Gao, Zheng Zhang +1

Automated medical image segmentation can assist doctors to diagnose faster and more accurate. Deep learning based models for medical image segmentation have made great progress in…