CASIA OpenIR  > 精密感知与控制研究中心  > 人工智能与机器学习
Classification of temporal lobe epilepsy with and without hippocampal sclerosis via two-level feature selection
Wang Xin1; Ren Yanshuang2; Zhang Wensheng1
2017
Conference Name2017 International Conference on Computer Science and Technology
Conference Date2017-5
Conference PlaceGuiLin, China
AbstractHippocampal 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.

Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/14846
Collection精密感知与控制研究中心_人工智能与机器学习
Corresponding AuthorZhang Wensheng
Affiliation1.Institute of Automation, Chinese Academy of Sciences
2.Department of Radiology, Guang An Men Hospital of China Academy of Traditional Chinese Medicine
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
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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