Graph-theory-based spectral feature selection for computer aided diagnosis of Parkinson's disease using T1-weighted MRI.
Bharti RanaAkanksha JunejaMohit SaxenaSunita GudwaniS. Senthil KumaranMadhuri BehariR. K. AgrawalPublished in: Int. J. Imaging Syst. Technol. (2015)
Keyphrases
- graph theory
- computer aided diagnosis
- medical images
- feature selection
- early diagnosis
- medical imaging
- magnetic resonance imaging
- computer aided
- magnetic resonance images
- lesion detection
- graph theoretical
- mr images
- social network analysis
- anatomical structures
- ct scans
- cad systems
- multiple sclerosis
- mri data
- lung nodules
- text categorization
- breast cancer
- image analysis
- medical image analysis
- digital mammography
- complex networks
- magnetic resonance
- graph based representations
- feature extraction
- dce mri
- maximal cliques
- computed tomography
- ct images
- machine learning
- x ray
- text classification
- image segmentation
- feature space
- genetic algorithm
- decision trees
- breast mri
- cervical cancer
- support vector
- classification accuracy
- image registration
- feature set
- brain tissue
- combinatorial optimization
- pattern recognition
- brain mri
- three dimensional
- white matter