Malignancy detection on mammograms by integrating modified convolutional neural network classifier and texture features.
Jayesh George MelekoodappattuAnto Sahaya DhasBinil Kumar K.K. S. AdarshPublished in: Int. J. Imaging Syst. Technol. (2022)
Keyphrases
- texture features
- convolutional neural network
- feature set
- texture classification
- face detection
- breast cancer
- texture analysis
- gabor filters
- computer aided diagnosis
- local binary pattern
- texture images
- texture information
- feature vectors
- texture feature extraction
- object detection
- rotation invariant
- image features
- gray level
- texture descriptors
- gabor wavelets
- shape features
- detection method
- detection algorithm
- textural features
- texture patterns
- mixture of gaussian distributions
- distance measure
- feature extraction
- feature space
- color features
- support vector
- digitized mammograms
- mixed data
- training data
- decision trees
- gabor filtering
- digital mammograms
- neural network
- feature selection
- receiver operating characteristic
- machine learning
- multiscale
- pairwise