An Enhancement of Deep Learning Algorithm for Brain Tumor Segmentation Using Kernel Based CNN with M-SVM.
R. ThillaikkarasiS. SaravananPublished in: J. Medical Syst. (2019)
Keyphrases
- learning algorithm
- brain tumor segmentation
- support vector
- support vector machine
- generalization ability
- kernel methods
- support vector machine svm
- training data
- classification algorithm
- machine learning
- cellular neural networks
- learning problems
- multiple kernel learning
- magnetic resonance images
- training examples
- learning machines
- maximum margin
- knn
- svm classifier
- kernel machines
- support vectors
- radial basis function
- image processing
- kernel function
- active learning
- rbf network
- machine learning algorithms
- svm classification
- image enhancement
- pattern recognition
- reinforcement learning
- multiple kernel
- rbf kernel
- supervised learning
- convolutional neural network
- deep learning
- sparse kernel
- feature space
- training algorithm
- feature selection
- learning tasks
- neural network
- multi class
- learning rate
- binary classification
- training set
- feature vectors
- large margin classifiers
- generalization error
- feature extraction
- generalization bounds
- semi supervised learning
- labeled data
- back propagation
- medical images
- loss function