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…
eess.IV2025
CT-Mamba: A Hybrid Convolutional State Space Model for Low-Dose CT Denoising
Linxuan Li, Wenjia Wei, Luyao Yang +5
Low-dose CT (LDCT) significantly reduces the radiation dose received by patients, however, dose reduction introduces additional noise and artifacts. Currently, denoising methods ba…