Classification of melanoma lesions using sparse coded features and random forests.
Mojdeh RastgooGuillaume LemaitreOlivier MorelJoan MassichRafael GarcíaFabrice MériaudeauFranck MarzaniDésiré SidibéPublished in: Medical Imaging: Computer-Aided Diagnosis (2016)
Keyphrases
- random forests
- feature set
- random forest
- decision trees
- classification accuracy
- feature vectors
- tree ensembles
- feature space
- skin lesion
- regression forests
- machine learning algorithms
- feature extraction
- extracted features
- randomized trees
- svm classifier
- accurate classifiers
- class labels
- logistic regression
- classification and regression trees
- image classification
- ensemble methods
- feature selection
- image features
- computer aided
- benchmark datasets
- support vector machine svm
- support vector
- machine learning
- supervised learning
- decision tree ensembles
- machine learning methods
- classification algorithm
- textural features
- training samples
- malignant melanoma
- high dimensional