摘要
基于对核磁波谱(MR Spectroscopy)的特征变量提取,利用模糊聚类算法来构建脑肿瘤分型诊断模型,实验结果表明该模型能准确对神经胶质细胞瘤分级诊断,为进一步实现更复杂的脑肿瘤诊断系统模型提供方法。
The construction of diagnosis model for brain tumors grade was built by selecting the special variables based on the nature of MR spectroscopy and using fuzzy algorithm. The experimental results of the model show that it can correctly diagnosis the grade of astrocytoma, meanwhile it can provide the method to realize more complicated system for diagnosing brain tumors.
出处
《上海生物医学工程》
2007年第3期139-142,共4页
Shanghai Journal of Biomedical Engineering
关键词
MRS
脑肿瘤
辅助诊断系统
模糊聚类算法
MRS
Brain Tumor
Clinical Dicission Support System
Fuzzy Algorithm
