Learning by Sampling for White Blood Cells Segmentation.
Cecilia Di RubertoAndrea LoddoLorenzo PutzuPublished in: ICIAP (1) (2015)
Keyphrases
- learning algorithm
- white blood cells
- active learning
- inductive inference
- background knowledge
- knowledge acquisition
- reinforcement learning
- neural network
- learning scheme
- learning problems
- learning systems
- unsupervised learning
- supervised learning
- prior knowledge
- learning process
- object recognition
- multiscale
- data sets
- medical images
- bayesian networks
- image analysis
- feature space
- image segmentation
- medical imaging
- learning tasks
- random sampling
- learning environment
- feature selection