Automatic classification of severity of COVID-19 patients using texture feature and random forest based on computed tomography images.
Nasrin AminiAhmad ShalbafPublished in: Int. J. Imaging Syst. Technol. (2022)
Keyphrases
- automatic classification
- random forest
- texture features
- computed tomography images
- feature set
- automatic segmentation
- feature vectors
- texture classification
- texture analysis
- color features
- image features
- texture feature extraction
- fold cross validation
- feature selection
- local binary pattern
- feature extraction
- automatic detection
- decision trees
- ensemble methods
- multi label
- gray level
- gabor filters
- automatically classify
- distance measure
- feature space
- classification accuracy
- ensemble classifier
- data sets
- image classification
- principal component analysis
- color images
- image processing
- computer vision