Classification of Microcalcifications Using Texture-Based Features.
Dirk MeersmanPaul ScheundersDirk Van DyckPublished in: Digital Mammography / IWDM (1998)
Keyphrases
- classification accuracy
- feature extraction
- classification method
- classification models
- feature set
- classification process
- feature vectors
- extracted features
- svm classifier
- feature space
- benchmark datasets
- feature representation
- classification scheme
- class labels
- classification algorithm
- machine learning
- support vector machine
- text classification
- support vector
- extracting features
- feature extraction and classification
- support vector machine svm
- feature analysis
- feature weights
- pattern recognition
- features extraction
- digitized mammograms
- gender classification
- roc curve
- feature construction
- feature reduction
- category labels
- high dimensionality
- image features
- training data
- feature values
- eeg signals
- classification rate
- feature selection algorithms
- irrelevant features
- feature subset
- textural features
- false positives
- image classification
- decision tree classifiers
- digital mammograms
- low level
- microcalcification clusters