Comprehensive computer-aided diagnosis for breast T1-weighted DCE-MRI through quantitative dynamical features and spatio-temporal local binary patterns.
Gabriele PiantadosiStefano MarroneRoberta FuscoMario SansoneCarlo SansonePublished in: IET Comput. Vis. (2018)
Keyphrases
- computer aided diagnosis
- dce mri
- benign and malignant
- breast cancer
- local binary pattern
- cad systems
- computer aided
- lung nodules
- medical images
- breast mri
- mri data
- pulmonary nodules
- medical imaging
- image analysis
- feature extraction
- anatomical structures
- spatial information
- ct scans
- pectoral muscle
- prostate cancer
- face recognition
- active contour model
- image sequences
- image processing
- digital mammography
- contrast enhancement
- texture features
- logistic regression
- feature vectors
- computer vision
- magnetic resonance imaging
- model driven
- ct images
- background subtraction
- textural features
- moving objects
- pairwise
- feature space
- similarity measure