Classification of red blood cell shapes in flow using outlier tolerant machine learning.
Alexander KihmLars KaestnerChristian WagnerStephan QuintPublished in: PLoS Comput. Biol. (2018)
Keyphrases
- machine learning
- pattern recognition
- support vector machine
- machine learning methods
- text classification
- supervised machine learning
- machine learning algorithms
- feature selection
- classification accuracy
- supervised learning
- decision trees
- machine learning approaches
- supervised classification
- classification systems
- automatic classification
- classification algorithm
- classification models
- computer vision
- classification scheme
- feature vectors
- shape analysis
- learning problems
- classification rules
- shape classification
- classification method
- model selection
- image classification
- active learning
- artificial intelligence
- data mining
- shape model
- learning tasks
- semi supervised learning
- inductive learning
- knowledge acquisition
- statistical learning
- support vector
- image sequences
- fourier descriptors
- neural network