Incorporation of residual attention modules into two neural networks for low‐dose CT denoising-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Incorporation of residual attention modules into two neural networks for low‐dose CT denoising

Published:2021-04-23 Issue:6 Volume:48 Page:2973-2990
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Med. Phys.

Author:

Li Mei¹²,Du Qiang²,Duan Luwen²,Yang Xiaodong²,Zheng Jian²,Jiang Haochuan³,Li Ming²

Affiliation:

1. Changchun University of Science and Technology Changchun China

2. Department of Medical Imaging Suzhou Institute of Biomedical Engineering and Technology Chinese Academy of Sciences Suzhou China

3. Minfound Medical Systems Co. Ltd. Yuecheng District Shaoxing Zhejiang China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.14856

Reference40 articles.

1. Computed Tomography — An Increasing Source of Radiation Exposure

2. Adaptive streak artifact reduction in computed tomography resulting from excessive x-ray photon noise

3. Generalized multi-dimensional adaptive filtering for conventional and spiral single-slice, multi-slice, and cone-beam CT

4. Evaluation of x-ray scatter properties in a dedicated cone-beam breast CT scanner

5. Penalized weighted least-squares approach to sinogram noise reduction and image reconstruction for low-dose X-ray computed tomography

Cited by 24 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Domain adaptive noise reduction with iterative knowledge transfer and style generalization learning;Medical Image Analysis;2024-12

2. StarAN: A star attention network utilizing inter-view and intra-view correlations for sparse-view cone-beam computed tomography reconstruction;Expert Systems with Applications;2024-12

3. A systematic review of deep learning-based denoising for low-dose computed tomography from a perceptual quality perspective;Biomedical Engineering Letters;2024-08-30

4. Parallel processing model for low-dose computed tomography image denoising;Visual Computing for Industry, Biomedicine, and Art;2024-06-12

5. Highly efficient encoder-decoder network based on multi-scale edge enhancement and dilated convolution for LDCT image denoising;Signal, Image and Video Processing;2024-06-02

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3