Selective invocation of shape priors for deformable segmentation and morphologic classification of prostate cancer tissue microarrays.
Sahirzeeshan AliRobert VeltriJonathan I. EpsteinChristhunesa ChristudassAnant MadabhushiPublished in: Comput. Medical Imaging Graph. (2015)
Keyphrases
- shape prior
- deformable models
- prostate cancer
- level set
- graph cuts
- image segmentation
- object boundaries
- segmentation algorithm
- variational segmentation
- medical image analysis
- shape model
- active contours
- object segmentation
- segmentation method
- magnetic resonance spectroscopy
- level set based segmentation
- dce mri
- soft tissue
- medical images
- energy function
- shape variations
- mr images
- pattern recognition
- decision trees
- prostate segmentation
- bayesian framework
- active contour model
- statistical models
- brain tumors
- intensity distribution
- machine learning
- feature extraction
- prior knowledge
- appearance cues
- intensity information
- active shape model
- segmentation result
- model selection
- parameter estimation
- higher order
- microarray
- feature vectors
- automatic segmentation
- microarray data