A sparse annotation strategy based on attention-guided active learning for 3D medical image segmentation.
Zhenxi ZhangJie LiZhusi ZhongZhicheng JiaoXinbo GaoPublished in: CoRR (2019)
Keyphrases
- active learning
- active learning strategies
- annotation effort
- exploration exploitation
- learning strategies
- learning algorithm
- training examples
- supervised learning
- learning process
- random sampling
- machine learning
- semi supervised
- labeled data
- selective sampling
- training set
- deformable models
- high dimensional
- semi supervised learning
- image retrieval
- relevance feedback
- sparse data
- sparse matrix
- pool based active learning
- image segmentation
- pairwise
- imbalanced data classification
- batch mode
- sparse coding
- visual attention
- sparse representation
- linear combination