A Texton-Based Approach for the Classification of Benign and Malignant Masses in Mammograms.
Zobia SuhailAzam HamidinekooErika R. E. DentonReyer ZwiggelaarPublished in: MIUA (2017)
Keyphrases
- benign and malignant
- digital mammograms
- breast cancer
- digitized mammograms
- mammogram images
- breast tissue
- lung nodules
- computer aided diagnosis
- early detection of breast cancer
- pattern recognition
- mammographic images
- classification accuracy
- dce mri
- decision trees
- medical images
- computer aided
- support vector
- machine learning
- clinical practice
- roc analysis
- multiresolution
- feature vectors
- feature selection