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	Medical image reconstruction based on Bayesian compressed sensing
	YU-HONG LI; DE-FENG WANG; L.M. LUI; A.T. AHUJA; PHENG ANN HENG
	2011
会议名称	2011 International Conference on Machine Learning and Cybernetics
会议地点	Guilin, Guangxi, China
英文摘要	A medical image reconstruction method based on sparse Bayesian compressed sensing is presented, and the method employs a hierarchical model of the Laplace prior to model the sparse wavelet coefficients and unknown images. The experiments are designed to compare the Bayesian Compressed Sensing (BCS) method with the Basis Pursuit (BP) algorithm and the Orthogonal Matching Pursuit (OMP) algorithm. The results imply that the presented algorithm exceeds the greedy algorithm and the linear programming such as BP and OMP etc.
收录类别	EI
语种	英语
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/3340]
专题	深圳先进技术研究院_集成所
作者单位	2011
推荐引用方式 GB/T 7714	YU-HONG LI,DE-FENG WANG,L.M. LUI,et al. Medical image reconstruction based on Bayesian compressed sensing[C]. 见:2011 International Conference on Machine Learning and Cybernetics. Guilin, Guangxi, China.

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