Ensemble learning based-features extraction for brain mr images classification with machine learning classifiers.
Nihal RemzanYounes El HachimiKarim TahiryAbdelmajid FarchiPublished in: Multim. Tools Appl. (2024)
Keyphrases
- ensemble learning
- features extraction
- machine learning
- generalization ability
- ensemble classifier
- brain mr images
- feature selection
- weak learners
- ensemble methods
- decision trees
- machine learning methods
- support vector machine
- automatic classification
- machine learning algorithms
- feature extraction
- base classifiers
- support vector machine svm
- pattern recognition
- extracted features
- learning algorithm
- random forest
- classification algorithm
- text classification
- support vector
- concept drift
- svm classifier
- classification accuracy
- wavelet transform
- multi class
- feature set
- class labels
- computer vision
- training samples
- naive bayes
- training set
- active learning
- supervised learning
- benchmark datasets
- medical imaging
- multiscale
- semi supervised learning
- quantitative evaluation
- training data
- image processing
- mr images