CirMNet: A Shape-Based Hybrid Feature Extraction Technique Using CNN and CMSMD for Alzheimer's MRI Classification.
G. MaluNayana UdayElizabeth SherlyAjith AbrahamNarendra Kuber BodheyPublished in: IEEE Access (2024)
Keyphrases
- high resolution
- feature extraction
- image processing
- pattern classification
- feature vectors
- pattern recognition
- preprocessing
- extracted features
- support vector machine svm
- feature extraction and classification
- classification accuracy
- feature space
- feature representation
- image classification
- classification method
- image feature extraction
- magnetic resonance images
- text classification
- class labels
- dimension reduction
- frequency domain
- wavelet transform
- face recognition
- machine learning
- texture classification
- extracting features
- preprocessing stage
- level set
- neural network
- feature selection
- decision trees
- support vector
- support vector machine
- object recognition
- convolutional neural network
- x ray
- fisher linear discriminant
- texture feature extraction
- cellular neural networks
- principal component analysis
- dimensionality reduction
- feature set
- medical images
- discriminant analysis
- texture features