Usefulness of Texture Analysis for Computerized Classification of Breast Lesions on Mammograms.
Roberto Rodrigues PereiraPaulo M. Azevedo-MarquesMarcelo O. HondaSérgio Koodi KinoshitaRoger EngelmannChisako MuramatsuKunio DoiPublished in: J. Digit. Imaging (2007)
Keyphrases
- clustered microcalcifications
- digital mammograms
- texture analysis
- breast tissue
- textural features
- computer aided diagnosis
- fractal analysis
- mammographic images
- benign and malignant
- breast cancer
- computer aided
- digitized mammograms
- image analysis
- texture features
- texture discrimination
- receiver operating characteristic
- multiresolution
- feature extraction
- texture classification
- medical images
- gray level
- local binary pattern
- texture images
- gabor filtering
- mammogram images
- fractal dimension
- texture segmentation
- breast mri
- computer aided detection
- gabor filters
- rotation invariant
- texture description
- feature vectors
- image features
- classification accuracy
- roc curve
- pectoral muscle
- cad systems
- lung nodules
- texture descriptors
- brodatz textures
- feature selection
- image analysis and computer vision
- decision trees
- face recognition
- tissue classification
- machine learning