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Multi-channel Deep Neural Network for Temporal Lobe Epilepsy Classification using Multimodal MRI Data
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Multi-channel Deep Neural Network for Temporal Lobe Epilepsy Classification using Multimodal MRI Data
Multiple magnetic resonance imaging (MRI) modalities are currently used for the diagnosis and characterization of temporal lobe epilepsy (TLE). The objective of this study is to assess the feasibility of combination of multimodal MRI datasets to provide an accurate classification of TLE by employing a multi-channel deep neural network.
Multiple magnetic resonance imaging (MRI) modalities are currently used for the diagnosis and characterization of temporal lobe epilepsy (TLE). The objective of this study is to assess the feasibility of combination of multimodal MRI datasets to provide an accurate classification of TLE by employing a multi-channel deep neural network.
