Segmenting white matter hyperintensities in brain magnetic resonance images using convolution neural networks.
Kauê T. N. DuarteDavid G. GobbiAbhijot S. SidhuCheryl R. McCrearyFeryal SaadRichard CamicioliEric E. SmithRichard FraynePublished in: Pattern Recognit. Lett. (2023)
Keyphrases
- magnetic resonance images
- white matter
- grey matter
- gray matter
- brain tissue
- brain images
- mri scans
- cerebrospinal fluid
- mri data
- corpus callosum
- mr images
- brain tumors
- diffusion tensor images
- tissue segmentation
- diffusion weighted
- medical imaging
- diffusion mri
- medical images
- brain structures
- diffusion tensor
- multiple sclerosis
- magnetic resonance imaging
- partial volume effects
- cortical thickness
- human brain
- fiber bundles
- brain mri
- diffusion tensor imaging
- cerebral cortex
- pattern recognition
- mri images
- image segmentation
- partial volume
- high resolution
- mr brain images
- accurate segmentation
- image processing
- dt mri
- magnetic resonance
- tensor field
- brain mr images
- inter subject
- deformable registration
- medical image analysis
- disease progression
- high quality