Adaptive Adversarial Samples Based Active Learning for Medical Image Classification.
Siteng MaYu AnJing WangAonghus LawlorRuihai DongPublished in: ICPRAM (2023)
Keyphrases
- image classification
- active learning
- sample selection
- feature extraction
- image representation
- training examples
- representative samples
- training set
- bag of words
- stratified sampling
- medical experts
- learning strategies
- machine learning
- medical diagnosis
- random sampling
- image features
- multi agent
- data sets
- sample size
- sparse representation
- transfer learning
- labeled data
- supervised learning
- medical data
- class specific
- sampling methods
- sample points
- selective sampling
- label noise
- learning algorithm