Improving the Accuracy of Intrahepatic Cholangiocarcinoma Subtype Classification by Hidden Class Detection via Label Smoothing.
Jing Wei TanKanggeun LeeKyoungbun LeeWon-Ki JeongPublished in: ISBI (2021)
Keyphrases
- class labels
- classification accuracy
- detection accuracy
- accuracy rate
- class specific
- predictive accuracy
- detection rate
- classification algorithm
- high accuracy
- class imbalanced
- support vector machine classifier
- detection algorithm
- image classification
- text classification
- class membership
- pattern recognition
- training set
- machine learning
- multi class classification
- classification rate
- roc curve
- label information
- fold cross validation
- feature extraction
- intra class
- detection method
- multiclass classification
- support vector
- model selection
- generalization ability
- random selection
- neyman pearson
- feature vectors
- labeled data
- feature selection
- labeling effort
- feature set
- training data
- training samples
- support vector machine svm
- supervised learning
- classification rules
- classification method
- semi supervised