The unified extreme learning machines and discriminative random fields for automatic knee cartilage and meniscus segmentation from multi-contrast MR images.
Kunlei ZhangWenmiao LuPina MarzilianoPublished in: Mach. Vis. Appl. (2013)
Keyphrases
- mr images
- articular cartilage
- accurate segmentation
- medical images
- contrast enhanced
- manual segmentation
- extreme learning machines
- brain mr images
- discriminative random fields
- magnetic resonance
- magnetic resonance images
- brain tumors
- partial volume
- brain structures
- dice similarity coefficient
- mr brain
- intensity inhomogeneity
- automated segmentation
- cardiac magnetic resonance
- mr imaging
- lesion segmentation
- bias field
- fully automatic
- intensity distribution
- inhomogeneity correction
- brain mri
- mri data
- nonrigid registration
- brain tissue
- mr brain images
- image data
- markov random field
- brain segmentation
- computer assisted
- tissue segmentation
- semi automatic
- quantitative measurements
- segmentation algorithm
- model based segmentation
- phantom images
- multiple sclerosis
- inter patient
- image segmentation
- carotid artery
- level set
- anatomical structures
- image intensity
- magnetic resonance imaging
- shape prior
- segmentation method
- higher order
- medical image analysis
- fully automated
- similarity measure
- ct images
- medical imaging