Label-noise-tolerant medical image classification via self-attention and self-supervised learning.
Hongyang JiangMengdi GaoYan HuQiushi RenZhaoheng XieJiang LiuPublished in: CoRR (2023)
Keyphrases
- noise tolerant
- medical images
- instance based learning algorithms
- decision trees
- noisy data
- supervised learning
- learning problems
- reinforcement learning
- support vector
- model selection
- machine learning
- feature extraction
- training set
- domain knowledge
- machine learning algorithms
- medical imaging
- learning tasks
- learning algorithm
- label noise