Automatic Lesion Detection System (ALDS) for Skin Cancer Classification Using SVM and Neural Classifiers.
Muhammad Ali FarooqMuhammad Aatif Mobeen AzharRana Hammad RazaPublished in: CoRR (2020)
Keyphrases
- lesion detection
- cancer classification
- lesion segmentation
- gene selection
- support vector
- feature selection
- svm classifier
- cancer datasets
- random forest
- fold cross validation
- computer aided diagnosis
- feature ranking
- support vector machine svm
- training data
- cancer diagnosis
- microarray
- training set
- gene expression data
- microarray data
- support vector machine
- decision trees
- feature set
- multiple sclerosis
- neural network
- magnetic resonance images
- classification accuracy
- machine learning algorithms
- gene expression
- knn
- kernel function
- multi class
- gene expression profiles
- gene sets
- machine learning
- data sets
- magnetic resonance imaging
- text categorization
- labeled data
- medical images
- naive bayes
- skin lesion
- feature space
- feature extraction
- learning algorithm