IEEE Transactions on Medical Imaging· 2018Q1
Low-Dose CT Image Denoising Using a Generative Adversarial Network With Wasserstein Distance and Perceptual Loss
- 1,628citations
- Q1SCImago
- 2018year
Short summary
A new generative adversarial network (GAN) method using Wasserstein distance and perceptual loss reduces noise in low-dose CT scans while preserving critical structural details, outperforming traditional MSE-based methods.
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Radiology, Nuclear Medicine and ImagingMedicine