Diagnostic Accuracy of Content Based Dermatoscopic Image Retrieval with Deep Classification Features.
Philipp TschandlGiuseppe ArgenzianoMajid RazmaraJordan YapPublished in: CoRR (2018)
Keyphrases
- image retrieval
- classification accuracy
- feature space
- feature set
- feature vectors
- feature extraction
- feature reduction
- classification method
- classification process
- classification models
- extracted features
- relevance feedback
- support vector machine classifier
- retrieval accuracy
- feature selection algorithms
- retrieval method
- svm classifier
- accuracy rate
- classification rate
- image database
- visual features
- support vector machine
- support vector
- feature representation
- feature selection
- feature values
- discriminative classifiers
- discriminatory power
- training set
- decision trees
- machine learning
- benchmark datasets
- skin lesion
- extracting features
- expert systems
- feature analysis
- training data
- image classification
- cbir systems
- class labels
- highest accuracy
- image content
- hsv color
- image search
- retrieval precision
- classification performances
- feature subset
- fold cross validation
- false positives
- roc curve
- deep learning
- multimedia retrieval
- image representation
- color and texture features
- multiple features
- image annotation