A medical image segmentation method based on hybrid active contour model with global and local features.
Yuanmu LiZhanqing WangPublished in: Concurr. Comput. Pract. Exp. (2020)
Keyphrases
- active contour model
- segmentation method
- medical images
- active contours
- region growing
- image segmentation
- shape prior
- superpixels
- object segmentation
- medical imaging
- curve evolution
- image intensity
- intensity information
- anatomical structures
- energy functional
- level set method
- segmentation algorithm
- magnetic resonance imaging
- medical image analysis
- geodesic active contours
- energy minimization
- ct images
- pairwise
- magnetic resonance
- watershed segmentation
- feature vectors
- brain images
- computer aided diagnosis
- energy function
- mr images
- deformable models
- magnetic resonance images
- statistical models
- mri data
- graph cuts
- region of interest
- global optimization