Deep learning for automatic localization, identification, and segmentation of vertebral bodies in volumetric MR images.
Amin SuzaniAbtin RasoulianAlexander SeitelSidney S. FelsRobert N. RohlingPurang AbolmaesumiPublished in: Medical Imaging: Image-Guided Procedures (2015)
Keyphrases
- mr images
- deep learning
- magnetic resonance
- accurate segmentation
- medical images
- brain mr images
- brain tumors
- partial volume
- mr brain
- lesion segmentation
- brain structures
- mr imaging
- intensity inhomogeneity
- magnetic resonance images
- dice similarity coefficient
- bias field
- cardiac magnetic resonance
- unsupervised learning
- manual segmentation
- tissue segmentation
- inhomogeneity correction
- contrast enhanced
- mri data
- anatomical structures
- brain segmentation
- fully automatic
- image data
- machine learning
- brain tissue
- nonrigid registration
- brain mri
- weakly supervised
- medical imaging
- mental models
- image segmentation
- level set
- atlas based segmentation
- medical image analysis
- deformable models
- segmentation algorithm
- region of interest
- phantom images
- shape prior
- inter patient
- energy function
- model selection
- text classification
- automatic segmentation
- markov random field
- magnetic resonance imaging
- multiscale
- three dimensional