An ensemble learning approach for brain cancer detection exploiting radiomic features.
Luca BruneseFrancesco MercaldoAlfonso ReginelliAntonella SantonePublished in: Comput. Methods Programs Biomed. (2020)
Keyphrases
- ensemble learning
- cancer detection
- generalization ability
- weak learners
- feature extraction
- feature vectors
- feature set
- ensemble methods
- feature space
- feature ranking
- bayesian networks
- neural network
- high dimensional data
- ensemble classifier
- concept drift
- random forest
- cluster analysis
- class labels
- unlabeled data
- artificial neural networks
- pattern recognition
- image processing
- learning algorithm
- machine learning