An instance and variable selection approach in pixel-based classification for automatic white blood cells segmentation.
Nesma SettoutiMeryem SaidiMohammed El Amine BecharMostafa El Habib DahoMohammed Amine ChikhPublished in: Pattern Anal. Appl. (2020)
Keyphrases
- variable selection
- white blood cells
- cross validation
- dimension reduction
- model selection
- automatic recognition
- input variables
- high dimensional
- leave one out cross validation
- linear models
- feature vectors
- classification accuracy
- feature selection
- medical images
- pattern recognition
- image segmentation
- feature extraction
- level set
- decision trees
- sparsity inducing
- machine learning
- unsupervised learning
- preprocessing
- image processing
- energy function
- image classification
- active learning
- feature space
- logistic regression models
- clustering algorithm