FSformer: A combined frequency separation network and transformer for LDCT denoising-Reference-Cited by-同舟云学术

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FSformer: A combined frequency separation network and transformer for LDCT denoising

Published:2024-05 Issue: Volume:173 Page:108378
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Kang Jiaqi,Liu Yi,Zhang Pengcheng,Guo Niu,Wang Lei,Du Yinglin,Gui Zhiguo^ORCID

Publisher

Elsevier BV

Reference44 articles.

1. Computed tomography—an increasing source of radiation exposure;Brenner;N. Engl. J. Med.,2007

2. M3NAS: multi-scale and multi-level memory-efficient neural architecture search for low-dose CT denoising;Lu;IEEE Trans. Med. Imag.,2023

3. Ray contribution masks for structure adaptive sinogram filtering;Balda;IEEE Trans. Med. Imag.,2012

4. Projection space denoising with bilateral filtering and CT noise modeling for dose reduction in CT;Manduca;Med. Phys.,2009

5. Penalized weighted least-squares approach to sinogram noise reduction and image reconstruction for low-dose X-ray computed tomography;Wang;IEEE Trans. Med. Imag.,2006

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. An Underwater Image Denoising Method Based on High-Frequency Abrupt Signal Separation and Hybrid Attention Mechanism;Sensors;2024-07-15

2. Enhanced fully convolutional network based on external attention for low-dose CT denoising;Proceedings of the 2024 6th International Conference on Control and Computer Vision;2024-06-13

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