Non-uniform patch sampling with deep convolutional neural networks for white matter hyperintensity segmentation.
Mohsen GhafoorianNico KarssemeijerTom HeskesI. W. M. van UdenFrank-Erik de LeeuwElena MarchioriBram van GinnekenBram PlatelPublished in: ISBI (2016)
Keyphrases
- white matter
- gray matter
- corpus callosum
- convolutional neural networks
- cerebrospinal fluid
- grey matter
- magnetic resonance images
- partial volume effects
- human brain
- brain mri
- diffusion tensor
- diffusion tensor images
- dt mri
- mri data
- medical images
- diffusion imaging
- diffusion tensor mri
- multiple sclerosis
- brain images
- fiber bundles
- diffusion tensor imaging
- mr images
- mr brain images
- partial volume
- level set
- brain tumors
- white matter tracts
- segmentation algorithm
- diffusion mri
- atlas construction
- image segmentation
- magnetic resonance
- segmentation method
- medical imaging
- fully automatic
- computer vision
- energy function
- image patches
- shape prior
- magnetic resonance imaging
- multiscale
- brain structures
- tensor field
- region growing
- cortical thickness
- brain mr images
- grey level
- information processing
- high quality