SDGAN: A novel spatial deformable generative adversarial network for low-dose CT image reconstruction.
Ying LiuGuangyu WuZhongwei LvPublished in: Displays (2023)
Keyphrases
- image reconstruction
- computed tomography
- low dose
- ct scans
- computer tomography
- ct data
- ct images
- dual energy
- super resolution
- medical images
- x ray
- medical imaging
- lung nodules
- radon transform
- image reconstruction algorithms
- cone beam
- reconstruction method
- three dimensional
- deformable models
- imaging modalities
- high resolution