Performance of ensemble learning classifiers on malignant-benign classification of pulmonary nodules.
Ahmet TartarAydin AkanPublished in: SIU (2014)
Keyphrases
- ensemble learning
- benign and malignant
- pulmonary nodules
- thoracic ct images
- ensemble classifier
- generalization ability
- breast cancer
- multiple classifiers
- lung nodules
- individual classifiers
- digital mammograms
- weak learners
- computer aided
- ct images
- ensemble methods
- computer aided diagnosis
- feature selection
- random forest
- concept drift
- pattern recognition
- support vector machine svm
- support vector
- classification algorithm
- lung cancer
- breast tissue
- decision trees
- ct scans
- classification models
- malignant melanoma
- class labels
- feature set
- computed tomography
- base classifiers
- bp neural network
- classification accuracy
- feature extraction
- machine learning methods
- svm classifier
- text categorization
- medical images
- supervised learning