A modified threshold score-based multilevel thresholding segmentation technique for brain magnetic resonance images using opposition-based learning hybrid rice optimization algorithm.
Zhiwei YeZilun SongPengfei LiMingwei WangWenguang HouPublished in: Int. J. Imaging Syst. Technol. (2023)
Keyphrases
- optimization algorithm
- magnetic resonance images
- tissue segmentation
- multilevel thresholding
- brain tumors
- opposition based learning
- brain structures
- differential evolution
- brain tissue
- particle swarm optimization
- multi objective
- brain mri
- gray matter
- mr images
- partial volume
- medical images
- image segmentation
- medical imaging
- brain scans
- brain mr images
- white matter
- partial volume effects
- brain atlas
- optimization method
- cerebrospinal fluid
- particle swarm optimization pso
- diffusion weighted
- high resolution
- automatic segmentation
- thresholding methods
- particle swarm optimization algorithm
- magnetic resonance imaging
- multi objective optimization
- segmentation algorithm
- magnetic resonance
- diffusion tensor
- pso algorithm
- evolutionary algorithm
- convergence speed
- brain images
- multi objective genetic algorithm
- human brain
- global optimization
- swarm intelligence
- x ray
- ant colony optimization
- computer vision
- image analysis
- image processing
- nsga ii
- hybrid algorithm
- particle swarm optimisation
- thresholding method
- genetic algorithm
- multiobjective optimization
- premature convergence
- control parameters