Automated and precise event detection method for big data in biomedical imaging with support vector machine

	Automated and precise event detection method for big data in biomedical imaging with support vector machine
	Yuan, Lufeng; Yao, Erlin; Tan, Guangming
	2018-03-01
发表期刊	COMPUTER SYSTEMS SCIENCE AND ENGINEERING
ISSN	0267-6192
卷号	33 期号:2 页码:105-114
摘要	This paper proposes a machine learning based method which can detect certain events automatically and precisely in biomedical imaging. We detect one important and not well-defined event, which is called flash, in fluorescence images of Escherichia coli. Given a time series of images, first we propose a scheme to transform the event detection on region of interest (ROI) in images to a classification problem. Then with supervised human labeling data, we develop a feature selection technique to utilize support vector machine (SVM) to solve this classification problem. To reduce the time in training SVM model, a parallel version of SVM training is implemented. On ten stacks of fluorescence images labeled by experts, each of which owns one hundred 512.512 images with in total 4906 ROIs and 72056 labeled events, event detection with proposed method takes 19 seconds, while human labeling roughly costs 60 hours. With human labeling as the standard, the accuracy of our method achieves an F-value of about 0.81. This method is much faster than human detection and expects to be more precise with bigger data. It also can be expanded to a series of event detection with similar properties and improve efficiency of detection greatly
关键词	Biomedical imaging event detection machine learning support vector machine big data
收录类别	SCI
语种	英语
资助项目	National Key Research and Development Program of China[2016YFB0201305] ; National Science and Technology Major Project[2013ZX0102-8001-001-001] ; National Natural Science Foundation of China[91430218] ; National Natural Science Foundation of China[31327901] ; National Natural Science Foundation of China[61472395] ; National Natural Science Foundation of China[61272134] ; National Natural Science Foundation of China[61432018]
WOS研究方向	Computer Science
WOS类目	Computer Science, Hardware & Architecture ; Computer Science, Theory & Methods
WOS记录号	WOS:000452247800006
出版者	C R L PUBLISHING LTD
引用统计	被引频次：6[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/3501
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Yuan, Lufeng
作者单位	Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Yuan, Lufeng,Yao, Erlin,Tan, Guangming. Automated and precise event detection method for big data in biomedical imaging with support vector machine[J]. COMPUTER SYSTEMS SCIENCE AND ENGINEERING,2018,33(2):105-114.
APA	Yuan, Lufeng,Yao, Erlin,&Tan, Guangming.(2018).Automated and precise event detection method for big data in biomedical imaging with support vector machine.COMPUTER SYSTEMS SCIENCE AND ENGINEERING,33(2),105-114.
MLA	Yuan, Lufeng,et al."Automated and precise event detection method for big data in biomedical imaging with support vector machine".COMPUTER SYSTEMS SCIENCE AND ENGINEERING 33.2(2018):105-114.