Classification of breast cancer images using completed local ternary pattern and support vector machine.
M. Kusuma SriE. GomathiPublished in: Int. J. Bioinform. Res. Appl. (2022)
Keyphrases
- breast cancer
- mammogram images
- support vector machine
- breast cancer diagnosis
- benign and malignant
- image classification
- breast tissue
- digital mammography
- bladder cancer
- support vector
- mammographic images
- computer aided detection
- early detection
- diagnosis of breast cancer
- feature selection
- microcalcification clusters
- early detection of breast cancer
- image analysis
- breast cancer detection
- breast cancer patients
- input image
- image features
- feature space
- cancer datasets
- training set
- classification accuracy
- decision trees
- feature vectors
- fractal analysis
- machine learning
- logistic regression
- cad systems
- skin lesion
- computer aided diagnosis
- region of interest
- support vector machine svm
- image registration
- tissue classification
- outcome prediction
- text classification
- training data