mRMR-based hybrid convolutional neural network model for classification of Alzheimer's disease on brain magnetic resonance images.
Yesim ErogluMuhammed YildirimAhmet ÇinarPublished in: Int. J. Imaging Syst. Technol. (2022)
Keyphrases
- magnetic resonance images
- neural network model
- multiple sclerosis
- brain tissue
- mri scans
- disease progression
- brain tumors
- pattern recognition
- network architecture
- tissue segmentation
- medical images
- mr images
- neural network
- white matter
- brain structures
- magnetic resonance imaging
- diffusion weighted
- brain mapping
- mri brain
- medical imaging
- subcortical structures
- mri data
- artificial neural networks
- high resolution
- eeg signals
- brain atlas
- partial volume effects
- human brain
- feature selection
- grey matter
- corpus callosum
- clinical studies
- computer aided diagnosis
- support vector machine
- bias field
- diffusion tensor images
- feature extraction
- information processing
- brain mri
- diffusion tensor imaging
- gray matter
- feature space
- energy function
- computer vision