A Two-Stage Imaging Framework Combining CNN and Physics-Informed Neural Networks for Full-Inverse Tomography: A Case Study in Electrical Impedance Tomography (EIT).
Xuanxuan YangYangming ZhangHaofeng ChenGang MaXiaojie WangPublished in: CoRR (2024)
Keyphrases
- neural network
- image reconstruction
- artificial intelligence
- tomographic reconstruction
- computer science
- limited angle
- main contribution
- cellular neural networks
- transmission line
- theoretical framework
- artificial neural networks
- training process
- imaging systems
- pattern recognition
- case study
- computer vision
- genetic algorithm