Random Forest Based Deep Hybrid Architecture for Histopathological Breast Cancer Images Classification.
Fatima Zahrae NakachHasnae ZerouaouiAli IdriPublished in: ICCSA (2) (2022)
Keyphrases
- breast cancer
- random forest
- mammogram images
- hybrid architecture
- breast cancer diagnosis
- image classification
- benign and malignant
- decision trees
- breast tissue
- bladder cancer
- fold cross validation
- mammographic images
- logistic regression
- feature set
- classification accuracy
- input image
- image features
- computer aided diagnosis
- cancer classification
- machine learning methods
- machine learning
- multi label
- feature extraction
- breast cancer patients
- support vector machine
- ensemble classifier
- textural features
- digital mammograms
- cancer patients
- benchmark datasets
- feature vectors
- support vector machine svm