Sparse2Noise: Low-dose synchrotron X-ray tomography without high-quality reference data

Xiaoman Duan,Xiao Fan Ding,Naitao Li,Fang-Xiang Wu,Xiongbiao Chen,Ning Zhu

Computers in biology and medicine（2023）

引用 0|浏览6

暂无评分

摘要

•Sparse2Noise doesn't need high-quality paired data for low-dose SR-CT imaging.•Sparse2Noise can efficiently remove noise and artifacts at the same time.•Sparse2Noise outperforms the state-of-the-art methods for low-dose SR-CT imaging.•Sparse2Noise generates high-quality images at 13–26 μm voxel size (∼0.5 Gy).

查看译文

关键词

Synchrotron radiation,Computed tomography,Radiation dose,3D reconstruction,Convolutional neural network

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要