Three-class classification of brain magnetic resonance images using average-pooling convolutional neural network.
Jagadeesh KakarlaBala Venkateswarlu IsunuriKrishna Sai DoppalapudiKarthik Satya Raghuram BylapudiPublished in: Int. J. Imaging Syst. Technol. (2021)
Keyphrases
- magnetic resonance images
- convolutional neural network
- brain tissue
- mri scans
- brain tumors
- tissue segmentation
- medical imaging
- white matter
- brain structures
- mr images
- mri brain
- face detection
- medical images
- brain mapping
- grey matter
- brain mri
- diffusion weighted
- gray matter
- machine learning
- pattern recognition
- eeg signals
- brain images
- neural network
- subcortical structures
- feature vectors
- brain atlas
- corpus callosum
- magnetic resonance imaging
- brain mr images
- pattern classification
- support vector machine
- multiple sclerosis
- feature extraction
- image segmentation
- remote sensing
- cortical thickness
- partial volume effects
- high resolution
- anatomical structures
- medical image analysis
- brain scans
- diffusion tensor
- mri data