Advances in deep learning for computed tomography denoising
Author:
Publisher
Baishideng Publishing Group Inc.
Subject
General Medicine
Reference21 articles.
1. Incremental Image Noise Reduction in Coronary CT Angiography Using a Deep Learning-Based Technique with Iterative Reconstruction
2. Methods for Clinical Evaluation of Noise Reduction Techniques in Abdominopelvic CT
3. aLow-dose CT via convolutional neural network
4. Stacked competitive networks for noise reduction in low-dose CT
5. A deep convolutional neural network using directional wavelets for low-dose X-ray CT reconstruction
Cited by 4 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. Deep learning-based algorithms for low-dose CT imaging: A review;European Journal of Radiology;2024-03
2. CT image denoising methods for image quality improvement and radiation dose reduction;Journal of Applied Clinical Medical Physics;2024-01-19
3. 75% radiation dose reduction using deep learning reconstruction on low-dose chest CT;BMC Medical Imaging;2023-09-11
4. Deep learning reconstruction allows low-dose imaging while maintaining image quality: comparison of deep learning reconstruction and hybrid iterative reconstruction in contrast-enhanced abdominal CT;Quantitative Imaging in Medicine and Surgery;2022-05
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