Combining weakly and strongly supervised learning improves strong supervision in Gleason pattern classification.
Sebastian OtáloraNiccolò MariniHenning MüllerManfredo AtzoriPublished in: BMC Medical Imaging (2021)
Keyphrases
- pattern classification
- supervised learning
- nearest neighbor rule
- pattern recognition
- active learning
- unsupervised learning
- vowel recognition
- training set
- radial basis function neural network
- decision boundary
- training data
- linear dimensionality reduction
- fuzzy classifier
- training samples
- reinforcement learning
- pattern classification problems
- data sets
- probabilistic neural network
- machine learning
- semi supervised
- text classification
- artificial neural networks
- multiscale
- learning algorithm