3 papers
cs.CV2025
CmFNet: Cross-modal Fusion Network for Weakly-supervised Segmentation of Medical Images
Dongdong Meng, Sheng Li, Hao Wu +4
Accurate automatic medical image segmentation relies on high-quality, dense annotations, which are costly and time-consuming. Weakly supervised learning provides a more efficient a…
cs.CV2025
Semi-Supervised Multi-Modal Medical Image Segmentation for Complex Situations
Dongdong Meng, Sheng Li, Hao Wu +2
Semi-supervised learning addresses the issue of limited annotations in medical images effectively, but its performance is often inadequate for complex backgrounds and challenging t…
cs.CV2025
Query Nearby: Offset-Adjusted Mask2Former enhances small-organ segmentation
Xin Zhang, Dongdong Meng, Sheng Li
Medical segmentation plays an important role in clinical applications like radiation therapy and surgical guidance, but acquiring clinically acceptable results is difficult. In rec…