Learnable PM diffusion coefficients and reformative coordinate attention network for low dose CT denoising

Various deep learning methods have recently been used for low dose CT (LDCT) denoising. Aggressive denoising may destroy the edge and fine anatomical structures of CT images. Therefore a key issue in LDCT denoising tasks is the difficulty of balancing noise/artifact suppression and edge/structure pr...

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Vydané v:	Physics in medicine & biology Ročník 68; číslo 24
Hlavní autori:	Zhang, Haowen, Zhang, Pengcheng, Cheng, Weiting, Li, Shu, Yan, Rongbiao, Hou, Ruifeng, Gui, Zhiguo, Liu, Yi, Chen, Yang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	England 21.12.2023
Predmet:	Anisotropy Image Processing, Computer-Assisted Neural Networks, Computer Signal-To-Noise Ratio Tomography, X-Ray Computed encoder–decoder structure LDCT attention mechanism perceptual loss Perona–Malik model
ISSN:	1361-6560, 1361-6560
On-line prístup:	Zistit podrobnosti o prístupe
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