AdaIN-Switchable CycleGAN for Efficient Unsupervised Low-Dose CT Denoising

13 Aug 2020 Jawook Gu Jong Chul Ye

Recently, deep learning approaches have been extensively studied for low-dose CT denoising thanks to its superior performance despite the fast computational time. In particular, cycleGAN has been demonstrated as a powerful unsupervised learning scheme to improve the low-dose CT image quality without requiring matched high-dose reference data... (read more)

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