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. 2018 Feb 7;8:2575. doi: 10.1038/s41598-018-19426-7

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© The Author(s) 2018

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Comparing the CNN projection enhancement algorithm with the traditional denoising algorithms. The top left image is the projection with 30 s exposure time at 0°. The top right is the SSIM map between the 2 s projection denoised with median filter and the 30 s projection P_med(0)/P₃₀(0). The bottom left is the SSIM map between the 2 s projection denoised with tv filter and the 30 s projection P_tv(0)/P₃₀(0). The bottom right is the SSIM map between the CNN enhanced projection and the 30 s projection P_e(0)/P₃₀(0).