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	Tuning to optimize SVM approach for assisting ovarian cancer diagnosis with photoacoustic imaging
	Wang, Rui; Li, Rui; Lei, Yanyan; Zhu, Quing
刊名	BIO-MEDICAL MATERIALS AND ENGINEERING
	2015
卷号	26页码:S975-S981
关键词	Support vector machines ovarian cancer detection feature selection correlation filter SVM-RFE
ISSN号	0959-2989
DOI	10.3233/BME-151392
URL标识	查看原文
收录类别	SCIE ; EI ; PUBMED
WOS记录号	WOS:000361671800110
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/6542515
专题	北京航空航天大学
推荐引用方式 GB/T 7714	Wang, Rui,Li, Rui,Lei, Yanyan,et al. Tuning to optimize SVM approach for assisting ovarian cancer diagnosis with photoacoustic imaging[J]. BIO-MEDICAL MATERIALS AND ENGINEERING,2015,26:S975-S981.
APA	Wang, Rui,Li, Rui,Lei, Yanyan,&Zhu, Quing.(2015).Tuning to optimize SVM approach for assisting ovarian cancer diagnosis with photoacoustic imaging.BIO-MEDICAL MATERIALS AND ENGINEERING,26,S975-S981.
MLA	Wang, Rui,et al."Tuning to optimize SVM approach for assisting ovarian cancer diagnosis with photoacoustic imaging".BIO-MEDICAL MATERIALS AND ENGINEERING 26(2015):S975-S981.

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