Cervical Cancer Diagnosis Using Random Forest Classifier With SMOTE and Feature Reduction Techniques.
Sherif F. AbdohMohamed Abo RizkaFahima A. MaghrabyPublished in: IEEE Access (2018)
Keyphrases
- feature reduction
- cervical cancer
- rough sets
- text categorization
- computer aided diagnosis
- random forest
- knn
- feature selection
- reduction method
- classification accuracy
- feature set
- texture segmentation
- k nearest neighbor
- linear discriminant analysis
- support vector machine
- viterbi algorithm
- feature extraction
- classification algorithm
- principal component analysis
- data mining
- image processing
- early detection
- decision trees
- rough set theory
- multi label
- decision rules
- similarity measure
- text classification
- preprocessing