Classification of Human White Blood Cells Using Machine Learning for Stain-Free Imaging Flow Cytometry.
Maxim LippeveldCarly KnillEmma LadlowAndrew FullerLouise J. MichaelisYvan SaeysAndrew FilbyDaniel PeraltaPublished in: BNAIC/BENELEARN (2019)
Keyphrases
- machine learning
- machine learning methods
- pattern recognition
- decision trees
- supervised machine learning
- support vector machine
- text classification
- supervised learning
- classification accuracy
- image processing
- white blood cells
- supervised classification
- feature selection
- machine learning algorithms
- automatic recognition
- image classification
- data mining
- support vector machine svm
- model selection
- real world
- text mining
- support vector
- acute leukemia
- real time
- computer vision
- classification models
- classification algorithm
- feature space
- classification method
- feature vectors
- learning tasks
- image analysis
- feature extraction
- high resolution
- artificial intelligence
- human learning
- information extraction
- low cost