Multi‐view learning for benign epilepsy with centrotemporal spikes

Multi‐view learning for benign epilepsy with centrotemporal spikes

Benign epilepsy with centrotemporal spikes (BECT) may be the most popular epilepsy to attack children. In recent years, more and more studies have shown that magnetic resonance imaging (MRI) and functional magnetic resonance imaging (fMRI) are promising techniques in distinguishing BECT patients fro...

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Bibliographic Details
Main Authors: Ming Yan, Ling Liu, Sunitha Basodi, Yi Pan
Format: Article
Language:English
Published: Wiley 2019-03-01
Series:IET Computer Vision
Subjects:
machine learning methods
BECT patients
fMRI
multiple views
classification performance
multiview method
Online Access:https://doi.org/10.1049/iet-cvi.2018.5162

Internet

https://doi.org/10.1049/iet-cvi.2018.5162

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