Classification of mass and normal breast tissue: a convolution neural network classifier with spatial domain and texture images.
Berkman SahinerHeang-Ping ChanNicholas PetrickDatong WeiMark A. HelvieDorit D. AdlerMitchell M. GoodsittPublished in: IEEE Trans. Medical Imaging (1996)
Keyphrases
- spatial domain
- texture images
- digitized mammograms
- breast tissue
- frequency domain
- textural features
- transform domain
- texture analysis
- support vector
- wavelet domain
- pattern recognition
- feature extraction
- texture classification
- texture features
- feature selection
- decision trees
- feature set
- motion estimation
- feature space
- classification accuracy
- training set
- image processing
- pixel classification
- bayesian classifier
- gray level
- tissue classification
- gabor filters
- image classification
- discriminating power
- natural textures
- breast cancer
- machine learning
- log polar
- image segmentation
- rotation invariant
- training data
- feature vectors
- subband