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	Preserving-Texture Generative Adversarial Networks for Fast Multi-Weighted MRI
	Chen, Tiao[1]; Song, Xuehua[2]; Wang, Changda[3]
刊名	IEEE ACCESS
	2018
卷号	6页码:71048-71059
关键词	T-2-weighted MRI PD-weighted MRI deep learning generative adversarial networks (GAN) fast conversion accurate diagnosis preserve texture
ISSN号	2169-3536
DOI	http://dx.doi.org/10.1109/ACCESS.2018.2877932
URL标识	查看原文
收录类别	SCI(E) ; EI
WOS记录号	WOS:000453303800001
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/5329867
专题	江苏大学
作者单位	1.[1]Jiangsu Univ, Sch Comp Sci & Commun Engn, Zhenjiang 212200, Peoples R China. 2.[2]Jiangsu Univ, Sch Comp Sci & Commun Engn, Zhenjiang 212200, Peoples R China. 3.[3]Jiangsu Univ, Sch Comp Sci & Commun Engn, Zhenjiang 212200, Peoples R China.
推荐引用方式 GB/T 7714	Chen, Tiao[1],Song, Xuehua[2],Wang, Changda[3]. Preserving-Texture Generative Adversarial Networks for Fast Multi-Weighted MRI[J]. IEEE ACCESS,2018,6:71048-71059.
APA	Chen, Tiao[1],Song, Xuehua[2],&Wang, Changda[3].(2018).Preserving-Texture Generative Adversarial Networks for Fast Multi-Weighted MRI.IEEE ACCESS,6,71048-71059.
MLA	Chen, Tiao[1],et al."Preserving-Texture Generative Adversarial Networks for Fast Multi-Weighted MRI".IEEE ACCESS 6(2018):71048-71059.

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