Cystic (including atypical) and solid breast lesion classification using the different features of quantitative ultrasound parametric images.
Alexey A. KolchevDmitry V. PasynkovIvan A. EgoshinIvan V. KliouchkinOlga O. PasynkovaPublished in: Int. J. Comput. Assist. Radiol. Surg. (2022)
Keyphrases
- local binary pattern
- textural features
- breast tissue
- gray level co occurrence matrix
- feature extraction
- mammographic images
- texture features
- benign and malignant
- skin lesion
- extracted features
- image features
- image classification
- extracting features
- mammogram images
- feature vectors
- feature representation
- gabor filters
- feature space
- feature set
- test images
- multiple classifiers
- correct classification rate
- pigmented skin lesions
- three dimensional
- image retrieval
- input image
- feature selection
- ultrasound images
- image analysis
- image data
- digital mammograms
- image database
- classification method
- region of interest
- discriminative features
- image set
- highly discriminative
- image regions
- support vector machine
- fisher linear discriminant
- classification accuracy
- malignant melanoma
- parametric models