White matter hyperintensity segmentation from T1 and FLAIR images using fully convolutional neural networks enhanced with residual connections.
Dakai JinZiyue XuAdam P. HarrisonDaniel J. MolluraPublished in: CoRR (2018)
Keyphrases
- white matter
- gray matter
- diffusion tensor images
- magnetic resonance images
- partial volume effects
- corpus callosum
- mr brain images
- grey matter
- segmentation method
- mr images
- mri data
- accurate segmentation
- human brain
- cerebrospinal fluid
- diffusion tensor
- segmentation algorithm
- fiber bundles
- brain images
- mri images
- image analysis
- partial volume
- multiple sclerosis
- brain mr images
- input image
- edge detection
- image data
- diffusion imaging
- brain mri
- tensor field
- dt mri
- grey level
- intensity distribution
- fully automatic
- three dimensional
- ground truth
- medical images
- segmented images
- brain tumors
- image registration
- diffusion tensor imaging
- deformable registration
- brain tissue
- image segmentation
- convolutional neural networks
- cortical thickness
- region growing
- positron emission tomography
- medical imaging
- magnetic resonance
- magnetic resonance imaging
- high angular resolution diffusion imaging
- diffusion mri
- multiscale
- feature extraction
- quantitative evaluation
- watershed transform