Computer-aided automated discrimination of Alzheimer's disease and its clinical progression in magnetic resonance images using hybrid clustering and game theory-based classification strategies.
P. Rajesh KumarThiyagarajan ArunprasathPallikonda Rajasekaran MuruganVishnuvarthanan GovindarajPublished in: Comput. Electr. Eng. (2018)
Keyphrases
- computer aided
- game theory
- magnetic resonance images
- disease progression
- computer aided diagnosis
- multiple sclerosis
- early diagnosis
- game theoretic
- computer assisted
- medical images
- mr images
- prostate cancer
- clinical studies
- medical imaging
- evolutionary game theory
- cooperative
- white matter
- feature selection
- resource allocation
- nash equilibrium
- magnetic resonance imaging
- brain mri
- myocardial infarction
- image analysis
- solution concepts
- machine learning
- differential diagnosis
- feature extraction
- statistical physics
- nash equilibria
- capsule endoscopy
- fictitious play
- multi agent systems
- clinical applications
- pulmonary nodules
- brain tissue
- medical image analysis
- mri data
- pattern recognition
- clinical practice
- computed tomography
- skin lesion
- diffusion tensor
- brain tumors
- clinical trials
- diffusion weighted
- coalition formation