Breast cancer classification application based on QGA-SVM.
Yumin DongZiyi LiZhengquan ChenYuewen XuYunan ZhangPublished in: J. Intell. Fuzzy Syst. (2023)
Keyphrases
- breast cancer
- breast cancer diagnosis
- support vector
- support vector machine svm
- bladder cancer
- computer aided detection
- mammogram images
- diagnosis of breast cancer
- support vector machine
- microcalcification clusters
- training set
- cancer datasets
- benign and malignant
- svm classifier
- machine learning
- computer aided diagnosis
- pattern recognition
- logistic regression
- feature extraction
- breast cancer patients
- feature vectors
- feature selection
- text classification
- generalization ability
- knn
- classification accuracy
- feature space
- decision trees
- cross validation
- fuzzy sets
- cost sensitive
- neural network