Fuzzy segmentation and black widow-based optimal SVM for skin disease classification.
D. Naveen RajuShanmugasundaram HariharanR. SasikumarPublished in: Medical Biol. Eng. Comput. (2021)
Keyphrases
- support vector machine svm
- support vector
- support vector machine
- svm classifier
- svm classification
- classification method
- classification algorithm
- feature selection
- classification accuracy
- feature vectors
- image classification
- feature space
- knn
- improves the classification accuracy
- feature extraction
- pattern recognition
- optimal segmentation
- training set
- decision trees
- generalization ability
- kernel function
- fuzzy logic
- decision boundary
- pixel classification
- support vector machine classifiers
- unbalanced data
- multi class classification
- skin lesion
- high classification accuracy
- fuzzy support vector machine
- feature subset
- image segmentation
- multi class
- fuzzy sets
- level set
- machine learning
- multi class svm
- rough sets
- feature set
- optimal parameters
- text classification
- training samples
- text classifiers
- fold cross validation
- medical images
- discriminative classifiers
- brain mri
- support vectors
- gene selection
- segmentation method
- hyperplane
- training data
- membership functions
- fuzzy clustering