
Already purchased this program?
Login to View
This video program is a part of the Premium package:
Multi-channel Deep Neural Network for Temporal Lobe Epilepsy Classification using Multimodal MRI Data
- IEEE MemberUS $11.00
- Society MemberUS $0.00
- IEEE Student MemberUS $11.00
- Non-IEEE MemberUS $15.00
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.