Skip Connection U-Net for White Matter Hyperintensities Segmentation From MRI.
Jiong WuYue ZhangKai WangXiaoying TangPublished in: IEEE Access (2019)
Keyphrases
- white matter
- gray matter
- magnetic resonance images
- grey matter
- cerebrospinal fluid
- corpus callosum
- mri data
- brain mri
- human brain
- partial volume effects
- fiber bundles
- medical images
- tissue segmentation
- magnetic resonance imaging
- diffusion tensor images
- brain tissue
- diffusion tensor
- brain images
- multiple sclerosis
- mri images
- partial volume
- mr images
- mr brain images
- brain tumors
- diffusion imaging
- medical imaging
- dt mri
- diffusion tensor imaging
- white matter tracts
- brain structures
- brain mr images
- mri scans
- image segmentation
- cortical thickness
- segmentation method
- diffusion weighted imaging
- brain white matter
- functional mri
- intensity distribution
- magnetic resonance
- watershed transform
- image analysis
- level set
- fully automatic
- diffusion mri
- cerebral cortex
- accurate segmentation
- diffusion weighted
- shape analysis
- image data
- positron emission tomography
- image processing