Article

Low-dose CT I mage D enoising M ethod B ased on Generative Adversarial Network

2022-06-07

Abstract excerpt

<title>Abstract</title> <p>In order to solve the problems of artifacts and noise in low-dose computed tomography ( CT ) images in clinical medical diagnosis, an improved image denoising algorithm under the architecture of generative adversarial network ( GAN ) is proposed. First, a noise model based on Style GAN2 is constructed to estimate the real noise distribution, and the noise information similar to the real...

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Literature Corpus work: fef1014b-5691-506b-af27-b3179be7452a
DOI: 10.21203/rs.3.rs-1672475/v1

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