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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Bibliographic Details

Published in:	Physics in medicine & biology Vol. 68; no. 24
Main Authors:	Zhang, Haowen, Zhang, Pengcheng, Cheng, Weiting, Li, Shu, Yan, Rongbiao, Hou, Ruifeng, Gui, Zhiguo, Liu, Yi, Chen, Yang
Format:	Journal Article
Language:	English
Published:	England 21.12.2023
Subjects:	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
Online Access:	Get more information
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