Boosting COVID-19 Severity Detection with Infection-aware Contrastive Mixup Classification.
Junlin HouJilan XuNan ZhangYuejie ZhangXiaobo ZhangRui FengPublished in: CoRR (2022)
Keyphrases
- feature selection
- machine learning
- automatic classification
- support vector
- detection method
- classification accuracy
- object detection
- supervised learning
- detection algorithm
- classification scheme
- accurate classifiers
- image classification
- training set
- decision trees
- boosted classifiers
- robust detection
- digital mammograms
- false alarms
- cost sensitive
- classification rules
- machine learning methods
- classification algorithm
- support vector machine
- feature vectors
- cross validation
- classification models
- generalization ability
- class labels
- machine learning algorithms
- training samples
- combining multiple
- weak classifiers
- text classification
- mammogram images
- neyman pearson
- pattern recognition