U-Net Transfer Learning for Image Restoration on Sparse CT Reconstruction in Pre-Clinical Research.
Huanyi ZhouHonggang ZhaoWenlu WangPublished in: ICDM (Workshops) (2022)
Keyphrases
- image restoration
- transfer learning
- image reconstruction
- compressive sensing
- super resolution
- learning tasks
- three dimensional
- total variation
- reinforcement learning
- machine learning
- markov random field
- labeled data
- active learning
- regularization parameter
- collaborative filtering
- transfer knowledge
- medical images
- image processing
- blurred images
- semi supervised learning
- multi task
- machine learning algorithms
- high dimensional
- motion blur
- sparse representation
- x ray
- text categorization
- cross domain
- total least squares
- sparse coding
- high resolution
- text classification
- domain adaptation
- medical imaging
- tomographic reconstruction
- data sets
- target domain
- learning algorithm
- pairwise
- text mining