Compensation cycle consistent generative adversarial networks (Comp-GAN) for synthetic CT generation from MR scans with truncated anatomy.
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DOI: 10.1002/mp.16246
Abstract: BACKGROUND MR scans used in radiotherapy can be partially truncated due to the limited field of view, affecting dose calculation accuracy in MR-based radiation treatment planning. PURPOSE We proposed a novel Compensation-cycleGAN (Comp-cycleGAN) by modifying… read more here.
Keywords: truncated images; compensation; comp cyclegan; cycle consistent ... See more keywords