Interpretability-Driven Sample Selection Using Self Supervised Learning For Disease Classification And Segmentation.
Dwarikanath MahapatraPublished in: CoRR (2021)
Keyphrases
- supervised learning
- active learning
- sample selection
- learning tasks
- image classification
- learning algorithm
- pattern recognition
- reinforcement learning
- medical images
- feature extraction
- classification algorithm
- decision trees
- machine learning
- search algorithm
- text classification
- training samples
- segmentation algorithm
- learning problems
- svm classification