Early diagnosis of Alzheimer's disease based on partial least squares, principal component analysis and support vector machine using segmented MRI images.
Laila KhedherJavier RamírezJuan Manuel GórrizAbdelbasset BrahimFermín SegoviaPublished in: Neurocomputing (2015)
Keyphrases
- early diagnosis
- partial least squares
- mri images
- principal component analysis
- support vector machine
- computer aided diagnosis
- medical images
- dimension reduction
- computer aided
- feature space
- discriminant analysis
- early stage
- imaging modalities
- magnetic resonance imaging
- magnetic resonance images
- medical imaging
- principal components
- dimensionality reduction
- feature selection
- multi class
- face recognition
- early detection
- feature extraction
- linear discriminant analysis
- svm classifier
- independent component analysis
- mri data
- singular value decomposition
- cardiovascular disease
- svm classification
- training data
- anatomical structures
- feature vectors
- medical image analysis
- kernel function
- support vector machine svm
- support vector
- deformable models
- ls svm
- brain images
- low dimensional
- machine learning
- medical data
- prostate cancer
- breast cancer
- image analysis
- mr images
- magnetic resonance
- image processing
- neural network
- skin lesion