Hierarchical Approach for the Classification of Multi-class Skin Lesions Based on Deep Convolutional Neural Networks.
Samia BenyahiaBoudjelal MeftahOlivier LézorayPublished in: ICPRAI (2) (2022)
Keyphrases
- multi class
- multi class classifier
- support vector machine
- multiple classes
- multiclass classification
- multi class classification
- binary classifiers
- binary and multi class
- multi class boosting
- multiclass problems
- skin lesion
- convolutional neural networks
- cost sensitive
- multi class svms
- multi class svm
- error correcting output codes
- multi class classifiers
- feature selection
- binary classification problems
- binary classification
- malignant melanoma
- object detection
- single class
- multi class problems
- classification accuracy
- pattern recognition
- image classification
- support vector
- pairwise
- protein classification
- feature vectors
- text classification
- feature extraction
- multi label classification
- svm classifier
- pigmented skin lesions
- kernel logistic regression
- probabilistic boosting tree
- improve the classification accuracy
- cost sensitive learning
- coarse to fine
- computer aided
- class labels
- loss function
- computer vision
- supervised learning
- machine learning