Benign-malignant mass classification in mammogram using edge weighted local texture features.
Rinku RabidasAbhishek MidyaAnup K. SadhuJayasree ChakrabortyPublished in: Medical Imaging: Computer-Aided Diagnosis (2016)
Keyphrases
- texture features
- benign and malignant
- breast cancer
- digitized mammograms
- lung nodules
- digital mammograms
- feature vectors
- textural features
- breast tissue
- texture feature extraction
- digital mammography
- feature extraction
- texture analysis
- gabor filtering
- malignant melanoma
- feature set
- texture classification
- roc analysis
- gabor filters
- computer aided diagnosis
- texture images
- rotation invariant
- classification accuracy
- wavelet features
- color features
- decision trees
- image features
- gabor wavelets
- local binary pattern
- distance measure
- training set
- logistic regression
- gray level
- color and texture features
- textured images
- skin cancer
- texture segmentation
- texture patterns
- dce mri
- texture descriptors
- ct images
- computer aided