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Medical image super-resolution via minimum error regression model selection using random forest
Qingyu Dou; Shuaifang Wei; Xiaomin Yang; Wei Wu; Kai Liu
刊名Sustainable Cities and Society
2018
卷号Vol.42页码:1-12
关键词Super-resolution Medical image Minimum error regression Random forest
ISSN号2210-6707
URL标识查看原文
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/1870890
专题四川大学
作者单位1.College of Electronics and Information Engineering, Sichuan University, Chengdu, Sichuan, 610064, PR China
2.College of Electrical Engineering and Information, Sichuan University, Chengdu, Sichuan, 610064, PR China
3.a The Center of Gerontology and Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, 610064, PR China
推荐引用方式
GB/T 7714
Qingyu Dou,Shuaifang Wei,Xiaomin Yang,et al. Medical image super-resolution via minimum error regression model selection using random forest[J]. Sustainable Cities and Society,2018,Vol.42:1-12.
APA Qingyu Dou,Shuaifang Wei,Xiaomin Yang,Wei Wu,&Kai Liu.(2018).Medical image super-resolution via minimum error regression model selection using random forest.Sustainable Cities and Society,Vol.42,1-12.
MLA Qingyu Dou,et al."Medical image super-resolution via minimum error regression model selection using random forest".Sustainable Cities and Society Vol.42(2018):1-12.
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