wmh_seg: Transformer based U-Net for Robust and Automatic White Matter Hyperintensity Segmentation across 1.5T, 3T and 7T.
Jinghang LiTales S. SantiniYuanzhe HuangJoseph M. MettenburgTamer S. IbrahimHoward J. AizensteinMinjie WuPublished in: CoRR (2024)
Keyphrases
- white matter
- gray matter
- corpus callosum
- cerebrospinal fluid
- magnetic resonance images
- fully automatic
- grey matter
- mri data
- human brain
- diffusion tensor images
- diffusion tensor mri
- dt mri
- partial volume effects
- medical images
- brain mri
- diffusion tensor
- diffusion imaging
- image segmentation
- segmentation algorithm
- level set
- partial volume
- diffusion tensor imaging
- brain mr images
- fiber bundles
- semi automatic
- brain tissue
- image processing
- brain images
- medical imaging
- mr images
- multiscale
- brain structures
- mri images
- energy function
- information processing
- computer vision
- white matter tracts
- watershed transform
- motion segmentation
- diffusion mri