Automatic cystocele severity grading in transperineal ultrasound by random forest regression.
Dong NiXing JiMin WuWenlei WangXiaoshuang DengZhongyi HuTianfu WangDinggang ShenJie-Zhi ChengHuifang WangPublished in: Pattern Recognit. (2017)
Keyphrases
- random forest
- random forests
- decision trees
- feature set
- ensemble methods
- fold cross validation
- feature importance
- rotation forest
- multi label
- machine learning
- base classifiers
- ensemble learning
- decision tree learning algorithms
- data sets
- ensemble classifier
- fusion method
- logistic regression
- prediction accuracy
- natural language processing
- artificial neural networks
- learning algorithm
- data mining