QQ客服 官方微博 反馈留言

	High-fidelity image deconvolution for low-dose cerebral perfusion CT imaging via low-rank and total variation regularizations.
	Zhang, Shanli; Zeng, Dong; Niu, Shanzhou; Zhang, Houjin; Xu, Huanqi; Li, Sui; Qiu, Shijun; Ma, Jianhua
刊名	Neurocomputing
	2019
卷号	Vol.323页码:175-187
关键词	DECONVOLUTION of digital images *PERFUSION *COMPUTED tomography *REGULARIZATION (Mathematics) *HEMODYNAMICS *QUALITATIVE research
ISSN号	0925-2312
URL标识	查看原文
公开日期	[db:dc_date_available]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/4742868
专题	湖南大学
作者单位	1.The First Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine, Guangdong 510405, China 2.School of Biomedical Engineering and Guangzhou Key Laboratory of Medical Radiation Imaging and Detection Technology, Southern Medical University, Guangdong 510515, China 3.School of Mathematics and Computer Sciences, Gannan Normal University, Jiangxi 341000, China 4.School of Mechanical and Electrical Engineering, Jinggangshan University, Jiangxi 343009, China
推荐引用方式 GB/T 7714	Zhang, Shanli,Zeng, Dong,Niu, Shanzhou,et al. High-fidelity image deconvolution for low-dose cerebral perfusion CT imaging via low-rank and total variation regularizations.[J]. Neurocomputing,2019,Vol.323:175-187.
APA	Zhang, Shanli.,Zeng, Dong.,Niu, Shanzhou.,Zhang, Houjin.,Xu, Huanqi.,...&Ma, Jianhua.(2019).High-fidelity image deconvolution for low-dose cerebral perfusion CT imaging via low-rank and total variation regularizations..Neurocomputing,Vol.323,175-187.
MLA	Zhang, Shanli,et al."High-fidelity image deconvolution for low-dose cerebral perfusion CT imaging via low-rank and total variation regularizations.".Neurocomputing Vol.323(2019):175-187.

个性服务

查看访问统计

相关权益政策

暂无数据

收藏/分享

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。