Neuroimaging feature extraction using a neural network classifier for imaging genetics.
Cédric BeaulacSidi WuErin GibsonMichelle F. MirandaJiguo CaoLeno RochaMirza Faisal BegFarouk S. NathooPublished in: BMC Bioinform. (2023)
Keyphrases
- feature extraction
- neural network
- structured sparse learning
- fuzzy artmap
- extracted features
- image processing
- feature space
- feature extractors
- learning vector quantization
- feature selection
- feature extraction and classification
- feature set
- backpropagation neural network
- neural classifier
- mlp neural networks
- artificial neural networks
- feature extractor
- brain imaging
- probabilistic neural network
- multi layer perceptron
- pattern recognition
- pattern classification
- training process
- image analysis
- training data
- neural network model
- decision trees
- principal component analysis
- discriminant analysis
- nearest neighbour
- human brain
- imaging systems
- back propagation
- image classification
- knn classifier
- training set
- support vector
- face recognition
- statistical parametric mapping
- medical imaging
- multi layer neural network
- incremental learning
- computer vision
- preprocessing
- high resolution
- knn
- wavelet transform
- dimensionality reduction
- training samples
- support vector machine svm
- frequency domain
- svm classifier
- multilayer perceptron
- fuzzy classifier
- self organizing maps
- k nearest neighbor
- classification algorithm
- fisher linear discriminant
- binary decision tree
- functional magnetic resonance imaging
- linear discriminant analysis
- feature vectors
- brain images
- gabor filters
- genetic algorithm