Neuroimaging Feature Extraction using a Neural Network Classifier for Imaging Genetics.
Cédric BeaulacSidi WuErin GibsonMichelle F. MirandaJiguo CaoLeno RochaMirza Faisal BegFarouk S. NathooPublished in: CoRR (2022)
Keyphrases
- neural network
- feature extraction
- structured sparse learning
- extracted features
- fuzzy artmap
- learning vector quantization
- feature extraction and classification
- feature extractors
- feature space
- image processing
- feature selection
- neural classifier
- feature set
- knn classifier
- backpropagation neural network
- feature extractor
- pattern recognition
- brain imaging
- mlp neural networks
- probabilistic neural network
- k nearest neighbor
- knn
- training data
- multi layer perceptron
- artificial neural networks
- preprocessing
- human brain
- nearest neighbour
- image analysis
- pattern classification
- fuzzy classifier
- back propagation
- imaging systems
- face recognition
- wavelet transform
- training process
- image classification
- computer vision
- discriminant analysis
- neural network model
- high resolution
- class labels
- incremental learning
- binary decision tree
- linear discriminant analysis
- medical imaging
- classification algorithm
- support vector machine svm
- training samples
- principal component analysis
- training set
- support vector
- statistical parametric mapping
- texture features
- multi layer neural network
- multilayer perceptron
- radial basis function
- dimensionality reduction
- decision trees
- learning algorithm