Breast tissue classification in digital breast tomosynthesis images using texture features: a feasibility study.
Despina KontosRachelle BergerPredrag R. BakicAndrew D. A. MaidmentPublished in: Medical Imaging: Computer-Aided Diagnosis (2009)
Keyphrases
- breast tissue
- textural features
- texture features
- mammographic images
- gabor filtering
- texture feature extraction
- benign and malignant
- image features
- gabor filters
- breast cancer
- texture analysis
- feature vectors
- texture classification
- digitized mammograms
- image classification
- color features
- quantitative evaluation
- tissue classification
- gray level co occurrence matrix
- lung nodules
- digital mammograms
- input image
- image analysis
- feature extraction
- texture features are extracted
- local binary pattern
- image database
- classification accuracy
- pixel classification
- shape features
- image registration
- gray level
- gabor wavelets
- image data
- rotation invariant
- feature set
- image retrieval
- object recognition
- computer graphics
- medical images
- discriminating power
- cad systems
- visual inspection