Novel kinetic texture features for breast lesion classification on dynamic contrast enhanced (DCE) MRI.
Shannon C. AgnerSalil SomanEdward LibfeldMargie McDonaldMark A. RosenMitchell D. SchnallDeanna ChinJohn L. NosherAnant MadabhushiPublished in: Medical Imaging: Computer-Aided Diagnosis (2008)
Keyphrases
- dce mri
- texture features
- breast mri
- dynamic contrast enhanced
- breast tissue
- benign and malignant
- textural features
- mri data
- breast cancer
- feature vectors
- anatomical structures
- texture analysis
- feature set
- prostate cancer
- feature extraction
- mr images
- contrast enhancement
- active contour model
- gray level
- curve fitting
- magnetic resonance imaging
- computer aided diagnosis
- local binary pattern
- classification accuracy
- feature selection
- feature space
- image features
- decision trees
- support vector
- computer aided
- white matter
- tissue classification
- image processing
- model driven
- fully automatic
- distance measure
- training set
- color images
- discriminating power
- magnetic resonance images
- multiscale
- active contours