Classification of white blood cells using deep features obtained from Convolutional Neural Network models based on the combination of feature selection methods.
Mesut TogaçarBurhan ErgenZafer CömertPublished in: Appl. Soft Comput. (2020)
Keyphrases
- neural network model
- classification accuracy
- feature vectors
- feature set
- classification process
- classification method
- feature extraction
- correct classification rate
- classification models
- classification rate
- support vector machine classifier
- class labels
- feature space
- benchmark datasets
- svm classifier
- neural network
- network architecture
- unsupervised feature learning
- multi layer perceptron
- extracted features
- deep learning
- white blood cells
- artificial neural networks
- feature values
- feature subset
- rbf neural network
- support vector machine svm
- support vector machine
- support vector
- machine learning
- automatic recognition
- image features
- restricted boltzmann machine
- bayesian models
- training set
- classification decisions