Self-Supervised Learning as a Means To Reduce the Need for Labeled Data in Medical Image Analysis.
Marin BencevicMarija HabijanIrena GalicAleksandra PizuricaPublished in: CoRR (2022)
Keyphrases
- labeled data
- medical image analysis
- supervised learning
- learning algorithm
- active learning
- unlabeled data
- semi supervised
- semi supervised learning
- labeled and unlabeled data
- domain adaptation
- text classification
- learning process
- prior knowledge
- co training
- learning problems
- sample selection bias
- transfer learning
- class labels
- unsupervised learning
- semi supervised classification
- supervised learning algorithms
- neural network
- partially labeled data
- deformable models
- training examples
- image analysis
- training set
- three dimensional
- training samples
- medical images
- data points
- learning environment
- reinforcement learning
- labeled instances
- data mining