Deep Attention Assisted Multi-resolution Networks for the Segmentation of White Matter Hyperintensities in Postmortem MRI Scans.
Anoop Benet NirmalaTanweer RashidElyas FadaeeNicolas HonnoratKarl LiSokratis CharisisDi WangAishwarya VemulaJinqi LiPeter FoxTimothy E. RichardsonJamie M. WalkerKevin BieniekSudha SeshadriMohamad HabesPublished in: MLCN@MICCAI (2023)
Keyphrases
- mri scans
- white matter
- mri data
- magnetic resonance images
- post mortem
- mr images
- multiresolution
- gray matter
- cerebrospinal fluid
- human brain
- accurate segmentation
- brain imaging
- medical images
- diffusion tensor
- medical imaging
- fully automatic
- brain images
- brain tissue
- brain tumors
- model based segmentation
- magnetic resonance
- diffusion tensor imaging
- intensity distribution
- magnetic resonance imaging
- tensor field
- image segmentation
- segmentation result
- medical image analysis
- deformable registration
- anatomical structures
- synthetic data
- segmentation algorithm
- information processing
- level set
- image analysis