Practical fine-grained learning based anomaly classification for ECG image.
Qing CaoNan DuLi YuMing ZuoJingsheng LinNathan LiuErheng ZhongZizhu LiuQiaoran ChenYing ShenKang ChenPublished in: Artif. Intell. Medicine (2021)
Keyphrases
- fine grained
- image classification
- coarse grained
- supervised learning
- learning algorithm
- multiscale
- access control
- decision trees
- image representation
- unsupervised learning
- image data
- support vector
- image features
- feature vectors
- tightly coupled
- databases
- input image
- active learning
- feature extraction
- high level
- metadata
- machine learning