Brain Tumour Segmentation Using a Triplanar Ensemble of U-Nets on MR Images.
Vaanathi SundaresanLudovica GriffantiMark JenkinsonPublished in: BrainLes@MICCAI (1) (2020)
Keyphrases
- mr images
- medical images
- brain tumors
- brain mr images
- brain structures
- magnetic resonance
- brain tissue
- tissue segmentation
- grey matter
- magnetic resonance images
- accurate segmentation
- brain images
- pet images
- manual segmentation
- partial volume
- medical imaging
- cerebrospinal fluid
- gray matter
- partial volume effects
- mri data
- skull stripping
- mr brain
- nonrigid registration
- anatomical structures
- post mortem
- mid sagittal plane
- mr imaging
- mri images
- medical image analysis
- mr brain images
- intensity inhomogeneity
- dice similarity coefficient
- deformable models
- cardiac magnetic resonance
- bias field
- brain segmentation
- image data
- corpus callosum
- image intensity
- magnetic resonance imaging
- contrast enhanced
- multiple sclerosis
- intensity distribution
- diffusion weighted
- segmentation algorithm
- inhomogeneity correction
- ct images
- human brain
- automatic segmentation
- phantom images
- brain mri
- atlas construction
- dce mri
- shape prior
- fiber bundles
- fully automatic
- image segmentation