Integrating Clinically-Relevant Features into Skin Lesion Classification.
Emmeke VeltmeijerSezer KaraogluTheo GeversPublished in: BNAIC/BENELEARN (2019)
Keyphrases
- skin lesion
- feature extraction
- extracted features
- classification accuracy
- clinically relevant
- feature vectors
- classification method
- classification process
- classification models
- feature set
- feature space
- malignant melanoma
- class labels
- digital image processing
- machine learning
- svm classifier
- decision trees
- text classification
- computer aided
- feature subset
- pattern recognition
- support vector
- diagnostic systems
- early detection
- digital images
- support vector machine
- fully automated
- training set
- early diagnosis
- feature selection
- automatically segmented
- computer vision