A system to diagnose atherosclerosis via wavelet transforms, principal component analysis and artificial neural networks.
Sadik KaraFatma DirgenaliPublished in: Expert Syst. Appl. (2007)
Keyphrases
- artificial neural networks
- principal component analysis
- wavelet transform
- neural classifier
- feature extraction
- neural network
- principal components
- dimensionality reduction
- independent component analysis
- back propagation
- wavelet transformation
- multiresolution
- multiscale
- dimension reduction
- image compression
- covariance matrix
- face recognition
- computational intelligence
- linear discriminant analysis
- singular value decomposition
- using artificial neural networks
- image coding
- subband
- fault diagnosis
- wavelet coefficients
- wavelet domain
- genetic algorithm
- risk factors
- face images
- soft computing
- discriminant analysis
- low dimensional
- genetic algorithm ga
- feed forward neural networks
- wavelet filters
- carotid artery
- high frequency
- neural network model
- multilayer perceptron
- low frequency
- model based diagnosis
- support vector machine
- translation invariant
- feature vectors