Kidney segmentation in MR images using active contour model driven by fractional-based energy minimization.
Ala'a R. Al-ShamasnehHamid A. JalabPalaiahnakote ShivakumaraRabha W. IbrahimUnaizah Hanum Binti ObaidellahPublished in: Signal Image Video Process. (2020)
Keyphrases
- mr images
- energy minimization
- energy function
- model driven
- active contours
- image segmentation
- level set
- active contour model
- intensity inhomogeneity
- magnetic resonance
- medical images
- level set formulation
- shape prior
- segmentation method
- accurate segmentation
- graph cuts
- dce mri
- magnetic resonance images
- energy functional
- image intensity
- segmentation result
- brain mr images
- data driven
- gradient vector flow
- manual segmentation
- object boundaries
- level set method
- global minimum
- mri data
- curve evolution
- markov random field
- geodesic active contours
- service oriented
- segmentation algorithm
- metamodel
- shape model
- belief propagation
- regularization term
- gradient flow
- object segmentation
- region growing
- image data
- data integration
- image dependent
- force field
- multiscale
- smoothness constraint
- model based segmentation
- medical imaging
- partial differential equations
- variational formulation
- evolution equation
- fully automatic
- image processing
- image analysis