An Explainable Fully Dense Fusion Neural Network with Deep Support Vector Machine for Retinal Disease Determination.
Ismail KayadibiGür Emre GüraksinPublished in: Int. J. Comput. Intell. Syst. (2023)
Keyphrases
- neural network
- support vector machine
- training algorithm
- radial basis function
- pattern recognition
- artificial neural networks
- multi class
- multi layer perceptron
- back propagation
- neural network model
- svm classifier
- support vector
- training data
- kernel methods
- data fusion
- blood vessels
- information fusion
- multi sensor
- classification method
- bp neural network
- training process
- support vector machine svm
- retinal images
- network architecture
- fusion method
- network model
- disease diagnosis
- neural network is trained
- age related macular degeneration
- binary decision tree
- prediction model
- recurrent neural networks
- self organizing maps
- fault diagnosis
- kernel function
- fuzzy logic
- knn
- image analysis
- hyperplane
- feature vectors
- svm classification
- machine learning
- similarity measure
- stock market prediction
- outbreak detection
- feature space
- diabetic retinopathy
- soft margin
- extreme learning machine
- decision forest
- multi layer
- generalization ability