Three-dimensional texture features from intensity and high-order derivative maps for the discrimination between bladder tumors and wall tissues via MRI.
Xiaopan XuXi ZhangQiang TianGuopeng ZhangYang LiuGuang-Bin CuiJiang MengYuxia WuTianshuai LiuZengyue YangHongbing LuPublished in: Int. J. Comput. Assist. Radiol. Surg. (2017)
Keyphrases
- high order
- texture features
- medical images
- three dimensional
- intensity distribution
- mr images
- image intensity
- brain tumors
- computed tomography
- magnetic resonance imaging
- ct images
- normal tissue
- deformable models
- magnetic resonance images
- higher order
- texture classification
- mri data
- medical imaging
- prostate cancer
- magnetic resonance
- texture analysis
- gabor filters
- texture images
- image features
- shape features
- gray level
- feature extraction
- feature vectors
- local binary pattern
- rotation invariant
- distance measure
- texture feature extraction
- pairwise
- texture information
- d objects
- edge information
- color features
- feature selection
- feature set
- markov random field
- machine learning
- matching algorithm
- range images
- x ray
- ct scans
- image analysis
- textural features
- gabor filtering
- multiscale
- decision trees
- co occurrence