Automatic Lesion Detection System (ALDS) for Skin Cancer Classification Using SVM and Neural Classifiers.
Muhammad Ali FarooqMuhammad Aatif Mobeen AzharRana Hammad RazaPublished in: BIBE (2016)
Keyphrases
- lesion detection
- cancer classification
- lesion segmentation
- gene selection
- support vector
- feature selection
- svm classifier
- random forest
- fold cross validation
- computer aided diagnosis
- support vector machine svm
- microarray
- cancer datasets
- cancer diagnosis
- training data
- microarray data
- feature ranking
- gene expression data
- training set
- support vector machine
- gene sets
- decision trees
- neural network
- knn
- gene expression
- multiple sclerosis
- magnetic resonance imaging
- naive bayes
- multi class
- gene expression profiles
- machine learning algorithms
- training samples
- image analysis
- magnetic resonance images
- computer vision
- learning algorithm
- feature space
- high dimensional
- human brain
- high dimensionality
- loss function
- kernel function