Support vector machine classification of complex fMRI data.

Support vector machine classification of complex fMRI data.
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复杂功能磁共振成像数据的支持向量机分类。

DOI：
10.1109/iembs.2009.5332805
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发表时间：
2009
期刊：
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
影响因子：
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通讯作者：
LaConte,StephenM
LaConte,StephenM
中科院分区：
--
文献类型：
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作者：
Peltier,ScottJ;Lisinski,JonathanM;Noll,DouglasC;LaConte,StephenM

文献摘要

相似文献

This work examines support vector machine (SVM) classification of complex fMRI data, both in the image domain and in the acquired k-space data. We achieve high classification accuracy using the magnitude data in both domains. Additionally, we maintain high classification accuracy even when using only partial k-space data. Thus we demonstrate the feasibility of using kspace data for classification, enabling rapid realtime acquisition and classification.