Segmentation of densely populated cell nuclei from confocal image stacks using 3D non-parametric shape priors.
Lee-Ling S. OngMengmeng WangJustin DauwelsH. Harry AsadaPublished in: EMBC (2014)
Keyphrases
- shape prior
- cell nuclei
- microscope images
- densely populated
- image stacks
- level set
- graph cuts
- low contrast
- shape model
- level set based segmentation
- object segmentation
- deformable models
- active contours
- segmentation algorithm
- object boundaries
- automated analysis
- image segmentation
- segmentation method
- tubular structures
- energy function
- automated detection
- microscopy images
- prior knowledge
- electron microscopy
- shape variations
- quantitative analysis
- statistical models
- nonrigid registration
- global optimization
- shape representation
- active shape model
- bayesian framework
- cancer diagnosis
- user interaction
- automatic segmentation
- segmentation result
- watershed transform
- image analysis
- pairwise
- markov random field
- region growing
- ground truth
- energy functional
- image registration
- three dimensional