Construction of VGG16 Convolution Neural Network (VGG16_CNN) Classifier with NestNet-Based Segmentation Paradigm for Brain Metastasis Classification.
Abdulaziz AlshammariPublished in: Sensors (2022)
Keyphrases
- learning vector quantization
- neural network
- pixel classification
- classification method
- classification scheme
- feature extraction and classification
- classification algorithm
- classification process
- class labels
- classification rate
- multi layer perceptron
- support vector
- support vector machine
- convolutional neural network
- binary decision tree
- nearest neighbor classifier
- svm classifier
- robust classification
- training process
- fuzzy classifier
- feature selection
- decision trees
- feature space
- nearest neighbour
- feature set
- classification accuracy
- training set
- training samples
- classification models
- pattern recognition
- cellular neural networks
- classifier combination
- segmentation algorithm
- decision boundary
- feature vectors
- eeg signals
- probabilistic neural network
- feature extraction
- pattern classification
- breast cancer
- self organizing maps
- discriminative classifiers
- image processing
- feature maps
- fold cross validation
- bayesian classifier
- extracted features
- region growing
- support vector machine svm
- individual classifiers
- brain structures
- knn
- roc curve
- medical images
- level set
- color image segmentation
- artificial neural networks
- binary classifiers
- image segmentation