The influence of the activation function in a capsule network for brain tumor type classification.
Kwabena AduYongbin YuJingye CaiIsaac AsareJennifer QuahinPublished in: Int. J. Imaging Syst. Technol. (2022)
Keyphrases
- activation function
- network size
- brain tumors
- endoscopic images
- hidden neurons
- feature selection
- hidden nodes
- neural network
- decision trees
- pattern recognition
- machine learning
- learning rate
- back propagation
- support vector
- support vector machine
- network architecture
- single layer
- artificial neural networks
- feature vectors
- hidden layer
- magnetic resonance
- feed forward
- network structure
- class labels
- supervised learning
- support vector machine svm
- feed forward neural networks
- feedforward neural networks
- radial basis function
- mr images
- training set
- feature space