Computed Tomography slice interpolation in the longitudinal direction based on deep learning techniques: To reduce slice thickness or slice increment without dose increase
Fig 5
Training process of organ-oriented CT reconstruction.
Each neural networks is trained for each specified organ. The organ areas in the original output are then replaced with the results of these organ-oriented networks. HR: high-quality result; LR: low-quality result. Here networks means the proposed parallel U-net architecture shown in Fig 2.