Assessing the Impact of Deep End-to-End Architectures in Ensemble Learning for Histopathological Breast Cancer Classification.
Hasnae ZerouaouiAli IdriOmar El AlaouiPublished in: KDIR (2022)
Keyphrases
- end to end
- ensemble learning
- cancer classification
- random forest
- ensemble methods
- cancer diagnosis
- gene selection
- decision trees
- feature selection
- generalization ability
- feature set
- microarray
- microarray data
- base classifiers
- gene expression profiles
- multi label
- gene expression data
- similarity measure
- data sets
- class labels
- prediction accuracy
- fold cross validation
- feature ranking
- machine learning
- real world