Dilated deeply supervised networks for hippocampus segmentation in MRI.
Lukas FolleSulaiman VesalNishant RavikumarAndreas K. MaierPublished in: CoRR (2019)
Keyphrases
- grey level
- brain structures
- mr images
- brain scans
- medical images
- mri data
- magnetic resonance images
- mri scans
- brain tissue
- accurate segmentation
- medical imaging
- magnetic resonance imaging
- mri images
- brain mri
- fully automatic
- tissue segmentation
- brain tumors
- medical image analysis
- region growing
- brain mr images
- human brain
- bias field
- intensity distribution
- mr imaging
- partial volume
- social networks
- learning algorithm
- segmentation method
- image segmentation
- multiscale
- quantitative analysis
- complex networks
- gray level
- fully unsupervised
- level set
- supervised learning
- magnetic resonance
- brain atlas
- lateral ventricles
- high resolution
- shape prior
- carotid artery
- anatomical structures
- brain tumor segmentation
- microscopy images
- manual segmentation
- left ventricle
- white matter
- network structure
- segmentation algorithm
- graph cuts
- image analysis