Learning CT projection denoising from adjacent views
Author:
Affiliation:
1. School of Biomedical Engineering Southern Medical University Guangdong China
2. Guangdong Artificial Intelligence and Digital Economy Laboratory (Guangzhou) Guangdong China
Funder
National Natural Science Foundation of China
China Postdoctoral Science Foundation
Publisher
Wiley
Subject
General Medicine
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.16115
Reference24 articles.
1. Dose reduction in CT examination of children by an attenuation-based on-line modulation of tube current (CARE Dose)
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5. Deep Tomographic Image Reconstruction: Yesterday, Today, and Tomorrow—Editorial for the 2nd Special Issue “Machine Learning for Image Reconstruction”
Cited by 2 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. Unsupervised and Self-supervised Learning in Low-Dose Computed Tomography Denoising: Insights from Training Strategies;Journal of Imaging Informatics in Medicine;2024-09-04
2. CT image denoising methods for image quality improvement and radiation dose reduction;Journal of Applied Clinical Medical Physics;2024-01-19
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