Based on model-driven fast iterative shrinkage thresholding network for bioluminescence tomography reconstruction.
Heng ZhangXiaowei HeHongbo GuoYanqiu LiuShuangchen LiYizhe ZhaoXuelei HeJingjing YuYuqing HouPublished in: Medical Imaging: Image Processing (2023)
Keyphrases
- data integration
- model driven
- data model
- image reconstruction
- denoising
- model driven engineering
- model driven development
- tomographic reconstruction
- multi agent systems
- discrete tomography
- iterative reconstruction
- image denoising
- case study
- data mining
- data driven
- cooperative
- database systems
- platform independent
- image processing
- model driven architecture
- artificial intelligence
- database