2 papers
eess.IV2025
Semantic contrastive learning for orthogonal X-ray computed tomography reconstruction
Jiashu Dong, Jiabing Xiang, Lisheng Geng +2
X-ray computed tomography (CT) is widely used in medical imaging, with sparse-view reconstruction offering an effective way to reduce radiation dose. However, ill-posed conditions…
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…