Breast tumor classification using different features of quantitative ultrasound parametric images.
Soa-Min HsuWen-Hung KuoFang-Chuan KuoYin-Yin LiaoPublished in: Int. J. Comput. Assist. Radiol. Surg. (2019)
Keyphrases
- image features
- extracting features
- image classification
- extracted features
- feature vectors
- correct classification rate
- discriminative features
- original images
- feature set
- test images
- classification accuracy
- input image
- feature representation
- classification process
- salient features
- image data
- classification models
- feature extraction
- feature space
- classification method
- visual object recognition
- multiple classifiers
- class specific
- individual features
- image regions
- gabor filters
- ultrasound images
- class labels
- image database
- skin lesion
- fisher linear discriminant
- handwritten digits
- textural features
- image set
- keypoints
- object recognition
- feature selection
- discriminative classifiers
- support vector
- speckle noise
- global features
- image analysis
- edge detection
- feature descriptors
- svm classifier
- spatial information
- pigmented skin lesions
- grey level co occurrence matrix
- multiple features
- fractal dimension
- image matching
- support vector machine svm
- image registration
- support vector machine
- image retrieval
- training set
- decision trees