Quantitative features for computer-aided melanoma classification using spatial heterogeneity of eumelanin and pheomelanin concentrations.
Daniel S. ChoShahid A. HaiderRobert AmelardAlexander WongDavid A. ClausiPublished in: ISBI (2015)
Keyphrases
- computer aided
- skin lesion
- feature set
- feature vectors
- feature extraction
- classification accuracy
- computer assisted
- extracted features
- classification models
- feature space
- spatial information
- classification method
- early diagnosis
- svm classifier
- diagnosis of breast cancer
- cad systems
- image analysis
- class labels
- pattern recognition
- decision trees
- computer aided diagnosis
- machine learning
- image classification
- image features
- text classification
- spatial relationships
- support vector machine
- design tools
- textural features
- feature subset
- training set
- computer aided design
- computer vision
- skin cancer