Classification of Pathological Cases of Myocardial Infarction Using Convolutional Neural Network and Random Forest.
Jixi ShiZhihao ChenRaphaël CouturierPublished in: M&Ms and EMIDEC/STACOM@MICCAI (2020)
Keyphrases
- random forest
- convolutional neural network
- decision trees
- feature set
- fold cross validation
- random forests
- myocardial infarction
- decision tree learning algorithms
- support vector machine svm
- classification accuracy
- machine learning
- pattern recognition
- feature selection
- training set
- face detection
- support vector
- feature vectors
- classification models
- feature extraction
- multi label
- fully automatic
- feature space
- cost sensitive
- loss function
- benchmark datasets
- neural network
- support vector machine