A Hybrid CNN and RBF-Based SVM Approach for Breast Cancer Classification in Mammograms.
Mohammad AlkhaleefahChao-Cheng WuPublished in: SMC (2018)
Keyphrases
- cancer classification
- gene selection
- support vector machine svm
- radial basis function
- support vector
- feature selection
- microarray data
- microarray
- cancer diagnosis
- digital mammograms
- support vector machine
- random forest
- gene expression data
- mammographic images
- gene expression profiling
- breast tissue
- gene expression profiles
- digitized mammograms
- computer aided diagnosis
- svm classifier
- knn
- pectoral muscle
- k nearest neighbor
- artificial neural networks
- neural network
- breast cancer
- gene expression
- feature vectors
- feature extraction
- decision trees
- computer aided
- feature ranking
- microarray datasets
- pattern recognition
- fold cross validation
- text categorization
- training data
- learning algorithm
- data mining
- data sets