A two-stage classification model integrating feature fusion for coronary artery disease detection and classification.
Muhammad Umar KhanSumair AzizKhushbakht IqtidarGalila Faisal ZaherShareefa AlghamdiMunazza GullPublished in: Multim. Tools Appl. (2022)
Keyphrases
- feature fusion
- feature extraction
- coronary artery disease
- classification accuracy
- pattern recognition
- machine learning
- decision trees
- feature selection
- support vector machine
- image classification
- class labels
- classification method
- data sets
- single feature
- multiple features
- classification algorithm
- support vector
- data reduction
- multi class
- clinical setting
- image segmentation
- incremental learning
- classification models
- support vector machine svm
- svm classification
- computer vision