A Combined Fuzzy C-Means and Level Set Method for Automatic DCE-MRI Kidney Segmentation Using Both Population-Based and Patient-Specific Shape Statistics.
Moumen T. El-MelegyRasha Abd El-karimAyman S. El-BazMohamed Abou El-GharPublished in: FUZZ-IEEE (2020)
Keyphrases
- fuzzy c means
- level set method
- patient specific
- dce mri
- image segmentation
- active contour model
- contrast agent
- blood flow
- level set
- active contours
- mri data
- region growing
- fuzzy clustering
- anatomical structures
- segmentation method
- shape prior
- medical imaging
- segmentation result
- breast cancer
- fully automatic
- contrast enhancement
- segmentation algorithm
- clustering algorithm
- multiscale
- energy functional
- gray level
- k means
- object boundaries
- accurate segmentation
- image analysis
- segmented images
- computer aided diagnosis
- prostate cancer
- ct data
- energy minimization
- boundary conditions
- deformable models
- image processing
- energy function
- markov random field
- computer vision
- graph cuts
- mr images
- particle swarm optimization
- high resolution