Performance comparison of various machine learning classifiers using fusion of LBP, intensity and GLCM feature extraction techniques for thyroid nodules classification.
Rajshree SrivastavaPardeep KumarPublished in: Int. J. Grid Util. Comput. (2024)
Keyphrases
- feature extraction
- machine learning
- feature selection
- decision trees
- machine learning methods
- machine learning algorithms
- extracted features
- grey level co occurrence matrix
- feature set
- pattern recognition
- texture analysis
- support vector machine svm
- supervised classification
- local binary pattern
- texture features
- multiple classifier systems
- classifier combination
- feature vectors
- classification rate
- classification algorithm
- machine learning approaches
- classification systems
- support vector
- classifier fusion
- face recognition
- pattern classification
- feature space
- text classification
- classification method
- image classification
- classification models
- classification accuracy
- feature fusion
- class labels
- support vector machine
- lung nodules
- feature extractors
- image processing
- learning algorithm
- training samples
- naive bayes
- svm classifier
- gabor filters
- training data
- supervised learning
- active learning
- individual classifiers
- training set
- face detection
- roc analysis
- classifier ensemble
- grey level
- texture classification
- feature representation
- majority voting
- fusion methods
- confusion matrices
- roc curve