Few Shot Learning in Histopathological Images: Reducing the Need of Labeled Data on Biological Datasets.
Alfonso MedelaArtzai PicónCristina López SaratxagaOihana BelarVirginia CabezónRiccardo CicchiRoberto BilbaoBen GloverPublished in: ISBI (2019)
Keyphrases
- labeled data
- supervised learning
- active learning
- learning algorithm
- semi supervised
- labeled and unlabeled data
- domain adaptation
- prior knowledge
- unlabeled data
- semi supervised learning
- training data
- text classification
- sample selection bias
- learning tasks
- learning process
- co training
- labeled training data
- supervised learning algorithms
- transfer learning
- feature selection
- learning problems
- semi supervised classification
- labeling effort
- unsupervised learning
- learning models
- neural network
- natural language processing
- information extraction
- data points
- machine learning
- data mining