Prostate Cancer Segmentation with Multispectral MRI Using Cost-Sensitive Conditional Random Fields.
Yusuf ArtanDeanna L. LangerMasoom A. HaiderTheodorus H. van der KwastAndrew J. EvansMiles N. WernickImam Samil YetikPublished in: ISBI (2009)
Keyphrases
- multispectral
- cost sensitive
- conditional random fields
- prostate cancer
- mr images
- segmentation method
- medical images
- image analysis
- medical image analysis
- image data
- remote sensing
- multi class
- prostate segmentation
- medical imaging
- graphical models
- cost sensitive learning
- magnetic resonance imaging
- probabilistic model
- higher order
- brain tumors
- image segmentation
- information extraction
- segmentation algorithm
- hidden markov models
- class imbalance
- pairwise
- class distribution
- binary classification
- magnetic resonance images
- active learning
- markov random field
- naive bayes
- level set
- region growing
- generative model
- computer aided
- anatomical structures
- superpixels
- shape prior
- deformable models
- training data
- high resolution
- image registration
- object segmentation
- image processing
- machine learning
- bayesian networks
- neural network