Segmentation and classification of breast lesions using dynamic and textural features in Dynamic Contrast Enhanced-Magnetic Resonance Imaging.
Roberta FuscoMario SansoneCarlo SansoneAntonella PetrilloPublished in: CBMS (2012)
Keyphrases
- textural features
- breast tissue
- dce mri
- benign and malignant
- digitized mammograms
- breast cancer
- pixel classification
- texture analysis
- mri data
- computer aided detection
- texture features
- anatomical structures
- visual inspection
- local binary pattern
- contrast enhancement
- computer aided diagnosis
- active contour model
- gray level
- model driven
- computer aided
- discriminating power
- medical images
- digital mammograms
- multiscale
- feature selection
- prostate cancer
- magnetic resonance images
- curve fitting
- segmentation method
- energy function
- pattern recognition