Differentiation of fat, muscle, and edema in thigh MRIs using random forest classification.
William KovacsChia-Ying LiuRonald M. SummersJianhua YaoPublished in: Medical Imaging: Computer-Aided Diagnosis (2016)
Keyphrases
- random forest
- decision trees
- fold cross validation
- feature set
- random forests
- cancer classification
- magnetic resonance images
- decision tree learning algorithms
- feature vectors
- classification algorithm
- classification accuracy
- ensemble methods
- image classification
- training set
- ensemble classifier
- generalization ability
- machine learning
- class labels
- multi label
- base classifiers
- support vector machine svm
- ensemble learning
- supervised learning
- benchmark datasets
- training samples
- unsupervised learning
- computer vision
- learning algorithm
- genetic algorithm
- feature importance
- data sets