A Voting-Based Encoding Technique for the Classification of Gleason Score for Prostate Cancers.
Zobia SuhailArif MahmoodLiping WangPaul N. MalcolmReyer ZwiggelaarPublished in: MIUA (2018)
Keyphrases
- prostate cancer
- classification accuracy
- feature selection
- support vector machine svm
- support vector machine
- machine learning
- automatic classification
- classification method
- pattern recognition
- image classification
- text classification
- roc analysis
- support vector
- machine learning methods
- decision trees
- voting method
- confidence scores
- cancer diagnosis
- microarray datasets
- neural network
- classification scheme
- pattern classification
- computer aided
- feature extraction
- image guided
- mr images
- training samples
- feature set
- supervised learning
- feature space