基于医学影像的病脑检测  

Brain detection based medical images

作　　者：李璨 王昕[1] 翟双[1] LI Can;WANG Xin;ZHAI Shuang(School of Computer Science and Engineering, Changchun University of Technology, Changchun 130012, China)

机构地区：[1]长春工业大学计算机科学与工程学院,吉林长春130012

出　　处：《长春工业大学学报》2020年第2期162-167,共6页Journal of Changchun University of Technology

基　　金：吉林省教育厅“十三五”科学技术研究项目(JJKH20181040KJ)。

摘　　要：采用离散小波变换对脑部核磁共振图像进行特征提取,通过对比分类精确度对多个特征进行筛选,采用峰度作为最后识别特征。最后,采用支持向量机对脑部核磁图像进行分类识别,并与几种常用的分类算法做了对比研究。Brain MRI images are extracted with discrete wavelet transform and the features are selected based on classification accuracy.The kurtosis is taken as the final recognition feature.The support vector machine is used for brain MRI image identification,and classification algorithms are compared each other.

关 键 词：脑疾病 计算机辅助诊断 离散小波变换 峰度 支持向量机 

分 类 号：TN964.34[电子电信—信号与信息处理]