Reducing magnetic resonance image spacing by learning without ground-truth.
Kai XuanLiping SiLichi ZhangZhong XueYining JiaoWeiwu YaoDinggang ShenDijia WuQian WangPublished in: Pattern Recognit. (2021)
Keyphrases
- ground truth
- magnetic resonance images
- learning process
- reinforcement learning
- supervised learning
- online learning
- inductive learning
- knowledge acquisition
- incremental learning
- training data
- learning scheme
- data sets
- learning problems
- learning tasks
- mobile learning
- image registration
- bayesian networks
- high quality
- three dimensional
- image segmentation
- case study
- decision trees
- computer vision