Improved digital chest tomosynthesis image quality by use of a projection-based dual-energy virtual monochromatic convolutional neural network with super resolution
Fig 2
Overview and interrelation of each algorithm.
The relation between very-deep super-resolution (VDSR) with unsharp masking (UM), the simultaneous algebraic reconstruction technique total-variation first-iterative shrinkage–thresholding algorithm (SART–TV–FISTA), and bilateral filtering (BF), which are the cores of the reconstruction process.
