An hybrid CNN-Transformer model based on multi-feature extraction and attention fusion mechanism for cerebral emboli classification.
Yamil VindasBlaise Kévin GuépiéMarilys AlmarEmmanuel RouxPhilippe DelachartrePublished in: MLHC (2022)
Keyphrases
- feature extraction
- image classification
- feature vectors
- pattern recognition
- pattern classification
- feature fusion
- feature extraction and classification
- support vector machine svm
- preprocessing
- extracted features
- classification accuracy
- feature selection
- dimension reduction
- machine learning
- feature set
- classification scheme
- feature level fusion
- supervised learning
- principal component analysis
- palmprint
- texture analysis
- data fusion
- kernel principal component analysis
- text classification
- fuzzy logic
- convolutional neural network
- feature extraction and selection
- feature space
- support vector
- decision trees
- neural network
- fisher linear discriminant
- decision level
- pattern representation
- image feature extraction
- grey level co occurrence matrix
- feature representation
- image fusion
- information fusion
- linear discriminant analysis
- frequency domain
- dimensionality reduction
- wavelet transform
- support vector machine
- high dimensional
- learning algorithm