Automated and precise event detection method for big data in biomedical imaging with support vector machine
文献类型：期刊论文
| 作者 | Tan, Guangming; Yuan, Lufeng; Yao, Erlin |
| 刊名 | COMPUTER SYSTEMS SCIENCE AND ENGINEERING
 |
| 出版日期 | 2018-03-01 |
| 卷号 | 33期号:2页码:105-114 |
| 关键词 | Biomedical imaging event detection machine learning support vector machine big data |
| ISSN号 | 0267-6192 |
| 英文摘要 | 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 |
| 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 |
| 语种 | 英语 |
| WOS记录号 | WOS:000452247800006 |
| 出版者 | C R L PUBLISHING LTD |
| 源URL | [http://119.78.100.204/handle/2XEOYT63/3500]  |
| 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 | Tan, Guangming,Yuan, Lufeng,Yao, Erlin. 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 | Tan, Guangming,Yuan, Lufeng,&Yao, Erlin.(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 | Tan, Guangming,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. |
入库方式： OAI收割
来源：计算技术研究所
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