Self-supervised Learning as a Means to Reduce the Need for Labeled Data in Medical Image Analysis.
Marin BencevicMarija HabijanIrena GalicAleksandra PizuricaPublished in: EUSIPCO (2022)
Keyphrases
- labeled data
- medical image analysis
- supervised learning
- learning algorithm
- unlabeled data
- semi supervised
- active learning
- labeled and unlabeled data
- domain adaptation
- semi supervised learning
- co training
- medical images
- text classification
- prior knowledge
- learning process
- reinforcement learning
- supervised learning algorithms
- deformable models
- neural network
- labeled examples
- sample selection bias
- labeling effort
- partially labeled data
- learning tasks
- training data
- feature selection
- machine learning
- remote sensing
- training examples
- image registration
- pairwise
- training set
- semi supervised classification
- data analysis
- labeled instances