Ground-Truth Segmentation of the Spinal Cord from 3T MR Images Using Evolutionary Computation.
Mohamed Mounir E. L. MendiliNoémie VillardBrice TiretRaphaël ChenDamien GalanaudBenoît MagninStéphane LehéricyPierre-Franois PradatEvelyne LuttonSalma MesmoudiPublished in: EvoApplications (2022)
Keyphrases
- evolutionary computation
- mr images
- spinal cord
- magnetic resonance images
- manual segmentation
- ground truth
- accurate segmentation
- medical images
- evolutionary algorithm
- magnetic resonance
- partial volume
- brain mr images
- automatically segmenting
- automatic segmentation
- computational intelligence
- genetic programming
- brain mri
- brain tumors
- mr brain
- mri data
- brain structures
- dice similarity coefficient
- mr imaging
- genetic algorithm
- nonrigid registration
- tissue segmentation
- cardiac magnetic resonance
- white matter
- image data
- medical image analysis
- fitness function
- bias field
- brain tissue
- intensity inhomogeneity
- inhomogeneity correction
- intensity distribution
- fuzzy logic
- contrast enhanced
- phantom images
- structural analysis
- inter patient
- quantitative evaluation
- mr brain images
- deformable models
- segmentation algorithm
- medical imaging
- neural network
- segmented images
- anatomical structures
- fully automated
- ct images
- carotid artery
- control system
- image analysis
- level set
- power system
- expert systems