Conditional Dependence Tests Reveal the Usage of ABCD Rule Features and Bias Variables in Automatic Skin Lesion Classification.
Christian ReimersNiklas PenzelPaul BodesheimJakob RungeJoachim DenzlerPublished in: CVPR Workshops (2021)
Keyphrases
- skin lesion
- conditional dependence
- classification accuracy
- feature vectors
- feature set
- feature extraction
- classification method
- extracted features
- feature space
- malignant melanoma
- pattern recognition
- feature selection
- classification rules
- class labels
- gabor filters
- computer aided
- support vector
- text classification
- digital image processing
- graphical representation
- early detection
- training data
- skin cancer
- similarity measure
- decision making