Semi-Supervised Active Learning for COVID-19 Lung Ultrasound Multi-symptom Classification.
Lei LiuWentao LeiYongfang LuoCheng FengXiang WanLi LiuPublished in: CoRR (2020)
Keyphrases
- semi supervised
- active learning
- supervised learning
- semi supervised classification
- lung disease
- semi supervised learning
- unsupervised learning
- co training
- semi supervised learning algorithms
- unlabeled data
- labeled data
- classification accuracy
- labeled and unlabeled data
- support vector machine svm
- transductive learning
- unlabeled samples
- feature vectors
- label information
- class imbalance
- image classification
- selective sampling
- pairwise
- training set
- batch mode active learning
- feature selection
- ct images
- lung nodules
- fully supervised
- annotation effort
- support vector
- incremental learning
- pattern recognition
- machine learning
- learning process
- class labels
- labeled examples
- support vector machine
- training samples
- pool based active learning
- rare class
- medical images
- text classification
- batch mode
- semi supervised clustering
- ultrasound images
- cost sensitive