Categorization Method Research for Medical Image Using Gaussian Mizture Model

摘要：

The paper presents an approach for medical image categorization based-on Gaussian mixture model in CBMIR system. The medical image categorization is a very complicated problem because the characteristics on texture, shape and intensity among the images of different parts of body are distinct differences. First, we extract the characteristic vectors of the training image set. Then, we choose the optimum features which can distinguish different classes and the same class better. After getting GMM parameters by EM algorithm, we categorize the test images. The experimental results indicate that the method performs well on CT image categorization.

关键词： categorization medical image GMM CBMIR CT

作者: Dong Yin Jia Pan Yuqing Miao Peng Chen

作者单位: School of Information Science and Technology, University of Science and Technology of China Department of Computer Science and Technology, Guilin University of Electronic Technology

会议类型: 国际会议

会议名称: The 2nd International Conference on Bioinformatics and Biomedical Engineering(iCBBE 2008)(第二届生物信息与生物医学工程国际会议)

会议地点: 上海

会议语种:英文

页码: 2604-2607

在线出版日期: 2008-05-16（万方平台首次上网日期，不代表论文的发表时间）