Improve global glomerulosclerosis classification with imbalanced data using CircleMix augmentation.
Yuzhe LuHaichun YangZheyu ZhuRuining DengAgnes B. FogoYuankai HuoPublished in: Medical Imaging: Image Processing (2021)
Keyphrases
- imbalanced data
- imbalanced data sets
- classification models
- imbalanced datasets
- support vector machine
- pattern recognition
- class imbalance
- class distribution
- decision trees
- feature space
- classification accuracy
- image classification
- decision boundary
- pattern classification
- svm classifier
- feature selection
- classification algorithm
- text classification
- supervised learning
- ensemble methods
- random forest
- support vector machine svm
- ensemble classifier
- machine learning
- high dimensionality
- linear regression
- data sets
- model selection
- sampling methods
- minority class
- feature extraction