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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