The effect of deep feature concatenation in the classification problem: An approach on COVID-19 disease detection.
Emine CengilAhmet ÇinarPublished in: Int. J. Imaging Syst. Technol. (2022)
Keyphrases
- feature vectors
- classification accuracy
- support vector machine svm
- classification scheme
- classification algorithm
- detection algorithm
- adaboost classifier
- feature representation
- automatic classification
- detection method
- support vector machine
- feature set
- support vector
- pattern classification
- image classification
- training set
- machine learning algorithms
- neyman pearson
- mammogram images
- classification method
- regular expressions
- false alarms
- digital mammograms
- robust detection
- object detection
- discriminative features
- feature weights
- feature selection
- neural network
- feature extraction and classification
- feature analysis
- svm classification
- feature values
- decision trees
- supervised learning
- preprocessing
- false positives
- anomaly detection