Journal of Innovative Optical Health Sciences, 2018, 11 (4): 1850017, Published Online: Oct. 6, 2018  

A novel denoising framework for cerenkov luminescence imaging based on spatial information improved clustering and curvature-driven diffusion

Author Affiliations
1 School of Information Science and Technology, Northwest University, Xi'an, Shaanxi 710069, P. R. China
2 Department of Nuclear Medicine, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi 710032, P. R. China
Basic Information
DOI: 10.1142/s1793545818500177
中图分类号: --
栏目:
项目基金: This work was supported by the Program of the National Natural Science Foundation of China under Grant Nos. 61701403, 61601363, 11571012, 61372046 and 61640418, the Natural Science Basic Research Plan in Shaanxi Province of China under Grant Nos. 2017JQ6006 and 2017JQ6017.
收稿日期: Dec. 29, 2017
修改稿日期: --
网络出版日期: Oct. 6, 2018
通讯作者: Linzhi Su (sulinzhi029@163.com)
备注: --

Xin Cao, Yi Sun, Fei Kang, Lin Wang, Huangjian Yi, Fengjun Zhao, Linzhi Su, Xiaowei He. A novel denoising framework for cerenkov luminescence imaging based on spatial information improved clustering and curvature-driven diffusion[J]. Journal of Innovative Optical Health Sciences, 2018, 11(4): 1850017.

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