False-positive reduction in computer-aided mass detection using mammographic texture analysis and classification.
Sami DhahbiWalid BarhoumiJaroslaw KurekBartosz SwiderskiMichal KrukEzzeddine ZagroubaPublished in: Comput. Methods Programs Biomed. (2018)
Keyphrases
- computer aided
- texture analysis
- false positives
- image analysis
- false negative
- computer aided diagnosis
- texture discrimination
- textural features
- texture classification
- gabor filtering
- pattern recognition
- fractal analysis
- feature extraction
- brodatz textures
- false positive rate
- lung nodules
- gabor filters
- texture segmentation
- fractal dimension
- detection rate
- rotation invariant
- true positive
- computer aided design
- texture features
- gray level
- multiresolution
- local binary pattern
- classification accuracy
- texture images
- diagnosis of breast cancer
- low false positive rate
- process planning
- decision trees
- texture characterization
- cad systems
- co occurrence
- capsule endoscopy
- digitized mammograms
- breast cancer
- image processing
- image texture
- image registration
- feature vectors
- medical imaging