Lufeng Yuan∗, Erlin Yao, Guangming Tan
Computer Systems Science and Engineering, Vol.33, No.2, pp. 105-113, 2018, DOI:10.32604/csse.2018.33.105
Abstract 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,… More >