Classification of mammographic masses: use and influence of a bilateral-filter-based flat-texture approach.
Florian WagnerMatthias ElterRüdiger Schulz-WendtlandThomas WittenbergPublished in: Medical Imaging: Computer-Aided Diagnosis (2011)
Keyphrases
- classification accuracy
- textural features
- computer aided diagnosis
- mammogram images
- decision trees
- feature extraction
- support vector machine
- breast cancer
- classification algorithm
- support vector
- pattern recognition
- machine learning
- class labels
- automatic classification
- supervised learning
- image analysis
- computer aided detection
- texture discrimination
- classification scheme
- classification method
- texture images
- classification models
- mammographic images
- neural network
- digitized mammograms
- texture classification
- support vector machine svm
- text classification
- feature set
- feature vectors
- training set
- feature space
- preprocessing
- feature selection
- learning algorithm