关键词: 医学图像分割, 支持向量机, 统计学习理论, 泛化性能

Abstract: Medical image segmentation is a difficult problem in the field of image segmentation.Support Vector Machine approach is considered a good candidate because of its good generalization performance,especially when the number of training samples is very small and the dimension of feature space is very high.This paper investigates the segmentation of medical image based on Support Vector Machine approach.Experimental results show that Support Vector Machine approach is a promising technique for medical image segmentation.

Key words: medical image segmentation, Support Vector Machine, Statistical Learning Theory, generalization performance