Mammographic Image Segmentation and Risk Classification Using a Novel Texture Signature Based Methodology.
Wenda HeErika R. E. DentonReyer ZwiggelaarPublished in: Digital Mammography / IWDM (2010)
Keyphrases
- image segmentation
- pattern recognition
- image analysis
- texture segmentation
- classification accuracy
- feature extraction
- textural features
- gray level
- support vector
- decision trees
- text classification
- feature vectors
- unsupervised clustering
- image classification
- texture features
- boundary information
- features extraction
- texture feature extraction
- texture analysis
- feature selection
- intrusion detection
- supervised learning
- support vector machine
- training set
- machine learning
- support vector machine svm
- active contours
- network traffic
- expectation maximization
- shape prior
- texture images
- texture synthesis
- risk factors
- level set
- feature space
- computer aided detection