Classification of temporal lobe epilepsy with and without hippocampal sclerosis via two-level feature selection
Wang Xin1; Ren Yanshuang2; Zhang Wensheng1
2017
会议名称2017 International Conference on Computer Science and Technology
会议日期2017-5
会议地点GuiLin, China
摘要Hippocampal sclerosis (HS) is one of the most common histopathological abnormalities
encountered in patients with temporal lobe epilepsy (TLE), which often serves as a diagnosis index of TLE. However, some patients with TLE have no pathologic characteristics of HS, which brings challenge to the diagnosis of TLE. Therefore, exploring effective methods to classify TLE patients with and without HS is meaningful to understanding the pathogenesis of TLE. In this paper, we propose a two-level feature selection method for classification. We select the categories of features as the first level and pick out the discriminating dimensions as the second level. Furthermore, we combine six regional brain characteristics as our features, including regional homogeneity (ReHo), amplitude of low-frequency fluctuation (ALFF), regional functional connectivity strength (RFCS) and three graph-based features. Results show that our method yields higher classification performance compared against the classifiers with single feature and without any level feature selection using functional magnetic resonance imaging (fMRI) data. Moreover, the discriminative brain regions selected by our method are consistent with previous studies. Thus, our method can accurately classify TLE patients with and without HS, which is interpretable from the perspective
of physiology at the same time.

文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/14846
专题精密感知与控制研究中心_人工智能与机器学习
通讯作者Zhang Wensheng
作者单位1.Institute of Automation, Chinese Academy of Sciences
2.Department of Radiology, Guang An Men Hospital of China Academy of Traditional Chinese Medicine
推荐引用方式
GB/T 7714
Wang Xin,Ren Yanshuang,Zhang Wensheng. Classification of temporal lobe epilepsy with and without hippocampal sclerosis via two-level feature selection[C],2017.
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