Level set-based CT liver image segmentation with watershed and artificial neural networks.
Abdalla ZidanNeveen I. GhaliAboul Ella HassanienHesham A. HefnyPublished in: HIS (2012)
Keyphrases
- image segmentation
- artificial neural networks
- ct images
- medical imaging
- active contours
- level set method
- computed tomography
- shape prior
- level set
- ct scans
- ct data
- segmentation algorithm
- energy functional
- curve evolution
- medical images
- region merging
- segmentation method
- automatic segmentation
- region growing
- computer tomography
- neural network
- watershed segmentation
- graph cuts
- image processing
- computational intelligence
- multiscale
- energy minimization
- watershed transform
- image segmentation methods
- white blood
- back propagation
- deformable models
- x ray
- radio frequency ablation
- magnetic resonance images
- magnetic resonance imaging
- medical image segmentation
- genetic algorithm ga
- gray level
- level set evolution
- treatment planning
- using artificial neural networks
- image analysis
- three dimensional
- markov random field
- contrast enhanced
- computer vision
- neural network model
- genetic algorithm
- watershed transformation
- image segmentation algorithm
- computer aided diagnosis
- image reconstruction
- active contour model
- image guided
- radiation therapy
- accurate registration
- imaging modalities
- energy function
- surgery planning
- region of interest
- partial differential equations