Individual classification of children with epilepsy using support vector machine with multiple indices of diffusion tensor imaging
Introduction: Support vector machines (SVM) have recently been demonstrated to be useful for voxel-based MR image classification. In the present study we sought to evaluate whether this method is feasible in the classification of childhood epilepsy intractability based on diffusion tensor imaging (D...
Main Authors: | Ishmael Amarreh, Mary E. Meyerand, Carl Stafstrom, Bruce P. Hermann, Rasmus M. Birn |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2014-01-01
|
Series: | NeuroImage: Clinical |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2213158214000242 |
Similar Items
-
Diffusion tensor imaging for detecting biomarkers of idiopathic epilepsy in dogs
by: Grace T. Kadler, et al.
Published: (2025-01-01) -
Brain diffusion tensor imaging reveals altered connections and networks in epilepsy patients
by: Meixia Wang, et al.
Published: (2023-03-01) -
Dysfunction of the glymphatic system in childhood absence epilepsy
by: Wanqing Pu, et al.
Published: (2023-12-01) -
Long-Term Outcome of Childhood-Onset Epilepsy
by: J Gordon Millichap
Published: (2006-03-01) -
Long-Term Mortality in Childhood-Onset Epilepsy
by: J Gordon Millichap
Published: (2011-02-01)