An automatic multi-class coronary atherosclerosis plaque detection and classification framework.
Fengjun ZhaoBin WuFei ChenXin CaoHuangjian YiYuqing HouXiaowei HeJimin LiangPublished in: Medical Biol. Eng. Comput. (2019)
Keyphrases
- multi class
- error correcting output codes
- multi class classifier
- multiclass classification
- support vector machine
- multi class classification
- cost sensitive
- object detection
- binary classifiers
- multiple classes
- binary and multi class
- probabilistic boosting tree
- class probabilities
- intravascular ultrasound
- multiple instance learning
- multi class boosting
- multi class classifiers
- feature selection
- multiclass problems
- binary classification problems
- multi class problems
- multi task
- multi class object detection
- risk factors
- binary classification tasks
- multi class svm
- decision trees
- pairwise
- machine learning algorithms
- single class
- supervised learning
- classification accuracy
- data mining
- data sets
- machine learning
- feature extraction
- support vector
- kernel logistic regression
- training set
- knn
- text classification
- support vector machine svm
- radio frequency
- svm classifier
- machine learning methods
- base classifiers
- cross sectional
- imaging modalities