Semi-Supervised Medical Report Generation via Graph-Guided Hybrid Feature Consistency.
Ke ZhangHanliang JiangJian ZhangQingming HuangJianping FanJun YuWeidong HanPublished in: IEEE Trans. Multim. (2024)
Keyphrases
- semi supervised
- semi supervised classification
- semi supervised learning
- graph construction
- label propagation
- random walk
- labeled data
- feature importance
- graph based semi supervised learning
- medical domain
- multi view
- global consistency
- pairwise constraints
- graph structure
- medical experts
- graph matching
- unlabeled data
- medical data
- graph embedding
- graph theoretic
- graph representation
- spanning tree
- manifold learning
- supervised learning
- image features
- graph mining
- feature space
- medical diagnosis
- weighted graph
- connected components
- path consistency
- structured data
- vector representation
- pairwise