Brain magnetic resonance images segmentation via improved mixtures of factor analyzers based on dynamic co-clustering.
Rahman FarnooshFatemeh AghagoliPublished in: Neurocomputing (2024)
Keyphrases
- magnetic resonance images
- factor analyzers
- tissue segmentation
- brain tumors
- brain structures
- brain mri
- mri brain
- brain tissue
- mri scans
- medical images
- grey matter
- mr images
- gray matter
- partial volume
- subcortical structures
- brain scans
- medical imaging
- brain mapping
- brain mr images
- white matter
- intra subject
- mri images
- brain atlas
- corpus callosum
- partial volume effects
- bias field
- diffusion weighted
- low dimensional
- magnetic resonance imaging
- magnetic resonance
- multiple sclerosis lesions
- cerebrospinal fluid
- mri data
- cortical thickness
- accurate segmentation
- brain images
- high resolution
- diffusion tensor
- multiple sclerosis
- automatic segmentation
- segmentation algorithm
- brain tumor segmentation
- human brain
- mr brain images
- anatomical structures
- image analysis
- atlas based segmentation
- pattern recognition
- shape variations
- high dimensional