Classification of glomerular hypercellularity using convolutional features and support vector machine.
Paulo ChagasLuiz SouzaIkaro AraújoNayze AldemanAngelo A. DuarteMichele AngeloWashington L. C. dos-SantosLuciano OliveiraPublished in: Artif. Intell. Medicine (2020)
Keyphrases
- support vector machine
- svm classifier
- feature vectors
- classification method
- classification accuracy
- svm classification
- feature set
- feature space
- support vector machine svm
- feature extraction
- support vector
- support vector machine classifiers
- training set
- extracted features
- feature selection
- classification algorithm
- classification models
- multi class
- feature reduction
- machine learning
- selected features
- decision boundary
- image classification
- high classification accuracy
- classification performances
- benchmark datasets
- classification process
- input features
- pattern classification
- ensemble classifier
- feature values
- pattern recognition
- high dimensionality
- kernel function
- decision forest
- generalization ability
- feature subset
- tree kernels
- image features
- k nearest neighbor
- histogram intersection kernel
- decision trees
- support vector machine classifier
- textural features
- extracting features
- discriminative features
- data sets
- hyperplane