Handling class imbalance in COVID-19 chest X-ray images classification: Using SMOTE and weighted loss.
Ekram ChamseddineNesrine MansouriMakram SouiMourad AbedPublished in: Appl. Soft Comput. (2022)
Keyphrases
- class imbalance
- x ray images
- x ray
- class distribution
- imbalanced datasets
- imbalanced data sets
- active learning
- cost sensitive
- lung nodules
- majority class
- cost sensitive learning
- medical images
- class imbalanced
- minority class
- imbalanced data
- high dimensionality
- feature selection
- sampling methods
- misclassification costs
- chest radiographs
- concept drift
- decision trees
- single view
- highly skewed
- training examples
- training samples
- machine learning
- feature selection algorithms
- data sets
- multi class
- classification accuracy
- high dimensional
- training set
- support vector
- three dimensional