CPC G06T 3/4076 (2013.01) [G06N 3/045 (2023.01)] | 20 Claims |
1. A system for generating a high resolution (HR) computed tomography (CT) image from a low resolution (LR) CT image, the system comprising:
a first generative adversarial network (GAN) comprising:
a first generative neural network (G) configured to generate an estimated HR image based, at least in part, on a received LR image, and
a first discriminative neural network (DY) configured to compare the estimated HR image and a received training HR image; and
an optimization module configured to determine an optimization function based, at least in part, on the estimated HR image, the optimization function containing at least one loss function, the optimization module further configured to adjust a plurality of neural network parameters associated with the first GAN, to optimize the optimization function.
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