This paper introduces a new CT image denoising method based on the generative adversarial network (GAN) with Wasserstein distance and perceptual similarity. The ...
Low-Dose CT Image Denoising Using a Generative Adversarial ... - PubMed
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This paper introduces a new CT image denoising method based on the generative adversarial network (GAN) with Wasserstein distance and perceptual similarity. The ...
Jul 25, 2022 · Based on WGAN-VGG, this paper proposes an improved generative adversarial network for CT image denoising. The algorithm improves the loss ...
In this paper, we propose a novel LDCT image denoising method based on transformer combined with convolutional neural network (CNN).
Aug 3, 2017 · In this paper, we introduce a new CT image denoising method based on the generative adversarial network (GAN) with Wasserstein distance and perceptual ...
Low-dose CT denoising using a Progressive Wasserstein ...
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In this paper, we propose a progressive Wasserstein generative adversarial network to remove the noise of LDCT images, providing a more feasible and effective ...
Feb 13, 2024 · In this paper, we introduce a novel image denoising technique which combines the flexibility afforded in Poisson flow generative models ...
Implementation of low dose CT image denoising using a generative adversarial network with Wasserstein distance and perceptual loss.
This paper investigates and evaluates some top deep learning models proposed in the field of low-dose image denoising in recent years.
Jan 19, 2024 · These methods are essential for reducing radiation doses while concurrently enhancing the quality of images obtained from low-dose CT scans, ...