Deep Q-Network-Driven Catheter Segmentation in 3D US by Hybrid Constrained Semi-supervised Learning and Dual-UNet.
Hongxu YangCaifeng ShanAlexander F. KolenPeter H. N. de WithPublished in: MICCAI (1) (2020)
Keyphrases
- semi supervised learning
- semi supervised
- unlabeled data
- labeled data
- unsupervised learning
- machine learning
- active learning
- supervised learning
- semi supervised classification
- network structure
- co training
- semi supervised learning methods
- training data
- label propagation
- learning models
- transfer learning
- medical images
- semi supervised learning algorithms
- manifold regularization
- level set
- semi supervised clustering
- image segmentation
- segmentation method
- labeled and unlabeled data
- graph construction
- graph based semi supervised learning
- metric learning
- energy function
- graph cuts
- text classification
- markov random field
- learning process
- learning environment
- decision trees
- e learning
- feature selection
- learning algorithm