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Low-Dose X-ray CT Image Reconstruction Based on a ...
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由 W Zhang 著作2019被引用 2 次 — To reduce noise in low-dose CT images, the present paper proposes a deep convolutional neural network (CNN) combined with a shearlet transform and denoising ...
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Low-Dose X-ray CT Image Reconstruction Based on a ...
ResearchGate
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Low-Dose X-ray CT Image Reconstruction Based on a Shearlet Transform and Denoising Autoencoder. September 2019; Journal of Medical Imaging and Health ...
Supplementary Data
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Supplementary Data. Low-Dose X-ray CT Image Reconstruction Based on a Shearlet Transform and Denoising Autoencoder. Authors: Zhang, Wei; Teng, Yueyang; Wang ...
Recent Advances in X-Ray CT Image Reconstruction ...
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2024年12月18日 — ... small animal imaging. View full-text. Article. Low-Dose X-ray CT Image Reconstruction Based on a Shearlet Transform and Denoising Autoencoder.
An improved non-local means algorithm for CT image denoising
ACM Digital Library
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ACM Digital Library
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由 H Kong 著作2024被引用 4 次 — In this paper, an improved NLM (I-NLM) denoising algorithm is proposed, which can extract the gradient information of the image more accurately.
Low-Dose CT Image Denoising Based on Improved DD ...
National Institutes of Health (NIH) (.gov)
https://pmc.ncbi.nlm.nih.gov › articles
National Institutes of Health (NIH) (.gov)
https://pmc.ncbi.nlm.nih.gov › articles
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由 H Liu 著作2022被引用 9 次 — Low-dose CT (LDCT) images can reduce the radiation damage to the patients; however, the unavoidable information loss will influence the clinical diagnosis ...
Low-count Rb-82 cardiac PET/CT image denoising via deep ...
Journal of Nuclear Medicine
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Journal of Nuclear Medicine
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由 M Fridlund 著作2022 — The purpose of this study was to develop a robust AI deep learning (DL) approach to obtain standard-dose image quality from quarter-dose reconstructions
Low-dose computed tomography image reconstruction via ...
National Institutes of Health (NIH) (.gov)
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National Institutes of Health (NIH) (.gov)
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由 Q Li 著作2022被引用 17 次 — This study proposed a new LDCT image reconstruction method by combining autoencoder perceptual loss networks with multistage convolutional neural networks ( ...
A novel denoising method for CT images based on U-net ...
ScienceDirect.com
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ScienceDirect.com
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由 J Zhang 著作2023被引用 35 次 — Based on U-network (U-Net) and multi-attention mechanism, a novel denoising method for medical CT images is proposed in this study.
An efficient reversible data hiding using SVD over a novel ...
ScienceDirect.com
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ScienceDirect.com
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由 M Diwakar 著作2023被引用 15 次 — A novel denoising method is proposed to improve the quality of low-dose CT images that is based on the total variation method by utilizing whale optimization ...