Extraction of spiculated parts of mammogram tumors to improve accuracy of classification.
Hamed PezeshkiMaryam RastgarpourArash SharifiSamaneh YazdaniPublished in: Multim. Tools Appl. (2019)
Keyphrases
- classification accuracy
- digital mammograms
- accuracy rate
- classification rate
- digital mammography
- feature space
- predictive accuracy
- pattern recognition
- high accuracy
- confusion matrix
- automatic classification
- feature extraction and classification
- computational cost
- benign and malignant
- correct classification
- feature selection
- support vector machine
- prediction accuracy
- benchmark datasets
- feature extraction
- decision trees
- neural network
- fold cross validation
- digitized mammograms
- breast cancer
- svm classifier
- text classification
- preprocessing
- classification scheme
- pattern classification
- classification systems
- roc analysis
- naive bayes
- image classification
- mammographic images
- supervised learning
- training set
- support vector