Combining convolutional neural networks and star convex cuts for fast whole spine vertebra segmentation in MRI.
Marko RakJohannes SteffenAnneke MeyerChristian HansenKlaus-Dietz TönniesPublished in: Comput. Methods Programs Biomed. (2019)
Keyphrases
- medical images
- x ray images
- convolutional neural networks
- medical imaging
- brain scans
- magnetic resonance imaging
- mri scans
- lumbar spine
- mr imaging
- computer tomography
- brain mri
- magnetic resonance images
- mri images
- mri data
- mr images
- magnetic resonance
- anatomical structures
- segmentation algorithm
- deformable models
- x ray
- imaging modalities
- convolutional network
- statistical shape model
- image segmentation
- min cut
- brain structures
- accurate segmentation
- ct and mr images
- multiscale
- image analysis
- level set
- segmentation method
- brain tumors
- model based segmentation
- partial volume
- convex optimization
- carotid artery
- clinical applications
- brain tumor segmentation
- tissue segmentation
- shape model
- medical image analysis
- active shape model
- phase contrast
- bias field
- fully automatic
- spinal cord
- energy function
- coarse to fine
- manual segmentation