G2C: A Generator-to-Classifier Framework Integrating Multi-Stained Visual Cues for Pathological Glomerulus Classification.
Bingzhe WuXiaolu ZhangShiwan ZhaoLingxi XieCaihong ZengZhihong LiuGuangyu SunPublished in: AAAI (2019)
Keyphrases
- visual cues
- decision trees
- classification method
- classification scheme
- classification process
- classification rate
- support vector
- feature selection
- training samples
- class labels
- feature space
- support vector machine
- feature set
- classification models
- error correcting output codes
- learning vector quantization
- training data
- classification algorithm
- ensemble classifier
- low level
- multiple visual cues
- training set
- classification accuracy
- multi category
- visual information
- decision boundary
- binary classifiers
- image classification
- bayesian classifier
- mid level
- nearest neighbor classifier
- multiple classifiers
- multi class