现代电子技术2013，Vol.36Issue(4)：47-50,4.
基于改进支持向量机的医学图像分割
Medical image segmentation based on improved support vector machine
摘要
Abstract
For the increasing accuracy demand of medical image processing in clinical medicine disease diagnosis area, the support vector machine method is difficult to meet the actual needs. A new method called as C-SVM medical image segmentation method which combines CV model with support vector machine method is proposed in this paper. The segmentation results of the two methods are given respectively. The experimental results show that C-SVM method can get more prominent features of edges and details, meet the accuracy requirements of the medical image segmentation. The conclusions that this method is applicable in the field of MR medical image segmentation and convenient for the diagnosis of clinical medicine diseases were obtained from comparison effect of two segmentation methods.关键词
支持向量机/CV模型/磁共振图像/医学图像分割Key words
support vector machine/CV model/MR image/medical image segmentation分类
信息技术与安全科学引用本文复制引用
刘洋,赵犁丰,徐浩..基于改进支持向量机的医学图像分割[J].现代电子技术,2013,36(4):47-50,4.基金项目
国家"863"计划资助项目(2010AA09Z205) （2010AA09Z205）
