Deep Hybrid AdaBoost Ensembles for Histopathological Breast Cancer Classification.
Fatima Zahrae NakachHasnae ZerouaouiAli IdriPublished in: WorldCIST (1) (2022)
Keyphrases
- cancer classification
- random forest
- ensemble methods
- base classifiers
- ensemble learning
- decision trees
- gene selection
- feature selection
- microarray
- random forests
- cancer diagnosis
- gene expression profiling
- gene expression data
- microarray data
- prediction accuracy
- multi class
- learning algorithm
- colon cancer
- tissue samples
- machine learning methods
- gene expression
- gene expression profiles
- boosting algorithms
- training set
- naive bayes
- data mining
- feature set
- feature space
- support vector
- training data