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	Super-resolution of PET image based on dictionary learning and random forests.
	Hu, Zhanli; Wang, Ying; Zhang, Xuezhu; Zhang, Mengxi; Yang, Yongfeng; Liu, Xin; Zheng, Hairong; Liang, Dong
刊名	Nuclear Instruments & Methods in Physics Research Section A
	2019
卷号	Vol.927页码:320-329
关键词	Dictionary learning Positron emission tomography Random forests Sparse representation
ISSN号	0168-9002
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/4735458
专题	湖南大学
作者单位	1.Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China 2.College of Electrical and Information Engineering, Hunan University, Changsha 410082, China 3.Department of Biomedical Engineering, University of California, Davis, CA 95616, USA
推荐引用方式 GB/T 7714	Hu, Zhanli,Wang, Ying,Zhang, Xuezhu,et al. Super-resolution of PET image based on dictionary learning and random forests.[J]. Nuclear Instruments & Methods in Physics Research Section A,2019,Vol.927:320-329.
APA	Hu, Zhanli.,Wang, Ying.,Zhang, Xuezhu.,Zhang, Mengxi.,Yang, Yongfeng.,...&Liang, Dong.(2019).Super-resolution of PET image based on dictionary learning and random forests..Nuclear Instruments & Methods in Physics Research Section A,Vol.927,320-329.
MLA	Hu, Zhanli,et al."Super-resolution of PET image based on dictionary learning and random forests.".Nuclear Instruments & Methods in Physics Research Section A Vol.927(2019):320-329.

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