SpineGEM: A Hybrid-Supervised Model Generation Strategy Enabling Accurate Spine Disease Classification with a Small Training Dataset.
Xihe KuangJason Pui Yin CheungXiaowei DingTeng ZhangPublished in: MICCAI (2) (2021)
Keyphrases
- training dataset
- class labels
- training set
- training samples
- training data
- supervised learning
- supervised classification
- feature selection
- small number
- accurate classification
- unsupervised learning
- pattern recognition
- classification accuracy
- support vectors
- data samples
- machine learning
- support vector machine
- semi supervised
- feature vectors
- support vector
- feature extraction
- imbalanced datasets
- disease diagnosis
- multi class
- svm classifier
- model selection
- database
- feature space
- high quality
- learning algorithm
- data sets