Improving Accuracy of Automatic Hippocampus Segmentation in Routine MRI by Features Learned from Ultra-High Field MRI.
Shuyu LiFeng ShiGuangkai MaMinjeong KimDinggang ShenPublished in: Patch-MI@MICCAI (2015)
Keyphrases
- brain scans
- mri data
- medical images
- mr images
- magnetic resonance imaging
- brain structures
- ultra high
- mri scans
- magnetic resonance images
- segmentation accuracy
- medical imaging
- manual segmentation
- mri images
- fully automatic
- brain mri
- features extraction
- mr imaging
- grey level
- accurate segmentation
- high resolution
- magnetic resonance
- classification accuracy
- carotid artery
- partial volume
- lateral ventricles
- image segmentation
- bias field
- brain tumor segmentation
- brain tissue
- image features
- human brain
- intensity distribution
- brain atlas
- level set
- model based segmentation
- segmentation method
- segmentation algorithm
- shape prior
- breast mri
- tissue segmentation
- feature extraction
- region growing
- shape analysis
- object segmentation
- feature set
- anatomical structures
- probabilistic atlas
- database
- low contrast