Synchrotron microtomography image restoration via regularization representation and deep CNN prior.

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作者： Yimin,Li ^[1] ; Shuo,Han ^[1] ; Yuqing,Zhao ^[1] ; Fangzhi,Li ^[1] ; Dongjiang,Ji ^[2] ; Xinyan,Zhao ^[3] ; Dayong,Liu ^[4] ; Jianbo,Jian ^[5] ; Chunhong,Hu ^[6]

作者单位： School of Biomedical Engineering and Technology, Tianjin Medical University, Tianjin 300070, China. ^[1] School of Science, Tianjin University of Technology and Education, Tianjin 300222, China. ^[2] Liver Research Center, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, China; Beijing Key Laboratory of Translational Medicine in Liver Cirrhosis and National Clinical Research Center of Digestive Disease, Beijing 100050, China. ^[3] Tianjin Medical University school of stomatology, Tianjin 300070, China. ^[4] Department of Radiation Oncology, Tianjin Medical University General Hospital, Tianjin 300070, China. ^[5] School of Biomedical Engineering and Technology, Tianjin Medical University, Tianjin 300070, China. Electronic address: chunhong_hu@hotmail.com. ^[6]

关键词 CNN Image denoising Low-rank tensor decomposition Plug-and-play Ring artifacts

主题词体模, 显象术(Phantoms, Imaging);同步加速器(Synchrotrons);图像处理, 计算机辅助(Image Processing, Computer-Assisted);伪迹(Artifacts);算法(Algorithms);X线显微体层摄影术(X-Ray Microtomography)

DOI 10.1016/j.cmpb.2022.107181

PMID 36257200

发布时间 2022-11-14

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准确一般字义偏差语意偏离译文作用小提交