Semi-supervised Learning with a Teacher-Student Paradigm for Histopathology Classification: A Resource to Face Data Heterogeneity and Lack of Local Annotations.
Niccolò MariniSebastian OtáloraHenning MüllerManfredo AtzoriPublished in: ICPR Workshops (1) (2020)
Keyphrases
- semi supervised learning
- labeled data
- unlabeled data
- supervised learning
- semi supervised
- training data
- data sets
- data analysis
- machine learning
- active learning
- original data
- co training
- labeled and unlabeled data
- training samples
- labeled instances
- text classification
- unsupervised learning
- classification accuracy
- data distribution
- improve the classification accuracy
- support vector machine
- prior knowledge
- training examples
- learning models
- label information