G2C: A Generator-to-Classifier Framework Integrating Multi-Stained Visual Cues for Pathological Glomerulus Classification.
Bingzhe WuXiaolu ZhangShiwan ZhaoLingxi XieCaihong ZengZhihong LiuGuangyu SunPublished in: CoRR (2018)
Keyphrases
- visual cues
- classification method
- feature space
- support vector
- training set
- classification scheme
- class labels
- support vector machine
- classification rate
- classification algorithm
- feature set
- classification accuracy
- multi category
- multiple visual cues
- classification process
- nearest neighbor classifier
- learning vector quantization
- svm classifier
- decision trees
- visual information
- classification models
- low level
- binary classifiers
- feature selection
- training samples
- object recognition
- computer vision
- multiple classifiers
- information retrieval
- support vector machine svm
- learning algorithm
- ensemble classifier
- decision boundary
- optical flow
- contextual information