Classification of interstitial lung disease patterns using local DCT features and random forest.
Marios AnthimopoulosStergios ChristodoulidisAndreas ChristeStavroula G. MougiakakouPublished in: EMBC (2014)
Keyphrases
- lung disease
- random forest
- feature set
- feature reduction
- selected features
- feature importance
- random forests
- feature vectors
- classification accuracy
- decision trees
- fold cross validation
- feature extraction
- cancer classification
- classification models
- feature selection
- ensemble methods
- class labels
- benchmark datasets
- feature ranking
- ensemble learning
- classification method
- ensemble classifier
- image classification
- multi class
- image features
- learning algorithm
- multi label