Classification of Dynamic Contrast Enhanced MR Images of Cervical Cancers Using Texture Analysis and Support Vector Machines.
Turid TorheimEirik MalinenKnut KvaalHeidi LyngUlf G. IndahlErlend K. F. AndersenCecilia M. FutsaetherPublished in: IEEE Trans. Medical Imaging (2014)
Keyphrases
- mr images
- texture analysis
- support vector
- dynamic contrast enhanced
- magnetic resonance
- prostate cancer
- magnetic resonance images
- medical images
- feature extraction
- classification accuracy
- manual segmentation
- multiresolution
- mri data
- nonrigid registration
- image analysis
- textural features
- gray level
- feature selection
- logistic regression
- image data
- texture features
- pattern recognition
- local binary pattern
- decision trees
- brain structures
- co occurrence
- feature vectors
- brain tumors
- machine learning
- breast cancer
- anatomical structures
- training set
- contrast enhanced
- feature space