Identifying the optimal segmentors for mass classification in mammograms.
Yu ZhangNoriko TomuroJacob D. FurstDaniela Stan RaicuPublished in: Medical Imaging: Image Processing (2015)
Keyphrases
- digitized mammograms
- mammogram images
- automatic classification
- classification accuracy
- pattern classification
- feature selection
- decision trees
- pattern recognition
- image classification
- machine learning
- classification process
- support vector machine svm
- unsupervised learning
- text classification
- neural network
- feature extraction
- support vector machine
- decision rules
- classification algorithm
- machine learning methods
- worst case
- feature subset
- preprocessing
- classification rate
- computer aided diagnosis
- classification systems
- optimal solution
- roc analysis
- training samples
- model selection