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It works for separate sinograms without additional training tips. The GAN is developed to match the input sinogram because of the design sinogram created through the predicted reconstruction. Good quality reconstructions can be obtained through the minimization associated with suitable mistakes. The reconstruction is a self-training treatment based on the physics design, rather than on instruction data. The algorithm revealed considerable improvements in the reconstruction accuracy,