Semiautomatic Classification of Benign Versus Malignant Vertebral Compression Fractures Using Texture and Gray-Level Features in Magnetic Resonance Images.
Lucas Frighetto-PereiraRafael Menezes-ReisGuilherme Augusto MetznerRangaraj Mandayam RangayyanPaulo Mazzoncini de Azevedo MarquesMarcello Henrique Nogueira-BarbosaPublished in: CBMS (2015)
Keyphrases
- gray level
- textural features
- magnetic resonance images
- benign and malignant
- semi automatic
- breast tissue
- texture analysis
- breast cancer
- texture features
- feature vectors
- co occurrence
- lung nodules
- feature extraction
- texture images
- gray scale
- dce mri
- digital mammograms
- grey level
- malignant melanoma
- feature set
- gray level images
- image segmentation
- skin lesion
- contrast enhancement
- input image
- feature space
- brain tissue
- low contrast
- gabor filters
- medical images
- mr images
- medical imaging
- extracted features
- texture classification
- binary patterns
- pattern recognition
- white matter
- clinical practice
- pixel values
- high resolution
- gray value
- machine learning
- fully automatic
- local binary pattern
- texture information
- ct scans
- binary images
- edge detection
- image data
- magnetic resonance
- magnetic resonance imaging
- feature selection