Shape, texture and statistical features for classification of benign and malignant vertebral compression fractures in magnetic resonance images.
Lucas Frighetto-PereiraRangaraj Mandayam RangayyanGuilherme Augusto MetznerPaulo Mazzoncini de Azevedo MarquesMarcello Henrique Nogueira-BarbosaPublished in: Comput. Biol. Medicine (2016)
Keyphrases
- benign and malignant
- magnetic resonance images
- breast cancer
- lung nodules
- digital mammograms
- feature extraction
- dce mri
- classification accuracy
- medical images
- mri data
- textural features
- clinical practice
- feature set
- x ray images
- ct images
- feature vectors
- feature space
- medical imaging
- breast tissue
- pattern recognition
- texture features
- ct scans
- pulmonary nodules
- feature selection
- machine learning
- mr images
- white matter
- computer aided diagnosis
- support vector
- shape analysis
- multiresolution
- image data
- magnetic resonance imaging
- magnetic resonance
- decision trees
- shape model