Low‐dose computed tomography scheme incorporating residual learning‐based denoising with iterative reconstruction
Author:
Affiliation:
1. College of Information Science and Electronic Engineering, Zhejiang UniversityZhejiangPeople's Republic of China
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/el.2018.6449
Reference10 articles.
1. A comprehensive study on the relationship between the image quality and imaging dose in low-dose cone beam CT
2. Image Denoising Via Sparse and Redundant Representations Over Learned Dictionaries
3. Improving abdomen tumor low-dose CT images using a fast dictionary learning based processing
4. Denoised and texture enhanced MVCT to improve soft tissue conspicuity
5. Image reconstruction in circular cone-beam computed tomography by constrained, total-variation minimization
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