ImageCLEF 2018 Tuberculosis Task: Ensemble of 3D CNNs with Multiple Inputs for Tuberculosis Type Classification.
Adam IshayOge MarquesPublished in: CLEF (Working Notes) (2018)
Keyphrases
- classification accuracy
- decision trees
- neural network
- feature extraction
- multiple types
- final classification
- training set
- feature selection
- classification systems
- machine learning
- classification models
- classification algorithm
- classifier ensemble
- cellular neural networks
- multiple classifiers
- pattern recognition
- support vector
- classification method
- learning algorithm
- regression problems
- ensemble classification
- ensemble methods
- class labels
- support vector machine svm
- image classification
- feature set
- feature space
- feature vectors
- supervised learning
- medical image annotation
- training data
- chest radiographs
- combining classifiers
- decision tree classifiers
- multiple classifier systems
- generalization ability
- weak learners
- ensemble classifier
- combining multiple
- classification scheme