Joint weber-based rotation invariant uniform local ternary pattern for classification of pulmonary emphysema in CT images.
Liying PengLanfen LinHongjie HuXiaoli LingDan WangXian-Hua HanYen-Wei ChenPublished in: ICIP (2017)
Keyphrases
- ct scans
- ct images
- rotation invariant
- lung nodules
- computed tomography
- feature vectors
- x ray
- lung disease
- medical images
- ground glass opacity
- computer tomography
- feature extraction
- texture features
- computer aided diagnosis
- medical imaging
- texture analysis
- classification accuracy
- texture classification
- local binary pattern
- pattern recognition
- treatment planning
- support vector
- region of interest
- ct data
- lung cancer
- chronic obstructive pulmonary disease
- lung parenchyma
- texture images
- support vector machine
- similarity measure
- high resolution
- three dimensional
- machine learning