Name
Title | ||
|---|---|---|
Learning a Deep CNN Denoising Approach Using Anatomical Prior Information Implemented With Attention Mechanism for Low-Dose CT Imaging on Clinical Patient Data From Multiple Anatomical Sites |
Abstract | ||
|---|---|---|
Dose reduction in computed tomography (CT) has gained considerable attention in clinical applications because it decreases radiation risks. However, a lower dose generates noise in low-dose computed tomography (LDCT) images. Previous deep learning (DL)-based works have investigated ways to improve diagnostic performance to address this ill-posed problem. However, most of them disregard the anatomi... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/JBHI.2021.3061758 | IEEE Journal of Biomedical and Health Informatics |
Keywords | DocType | Volume |
Feature extraction,Computed tomography,Noise reduction,Convolution,Bioinformatics,X-ray imaging,Cranium | Journal | 25 |
Issue | ISSN | Citations |
9 | 2168-2194 | 0 |
PageRank | References | Authors |
0.34 | 0 | 9 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhenxing Huang | 1 | 1 | 1.02 |
| Xinfeng Liu | 2 | 0 | 0.34 |
| Rongpin Wang | 3 | 1 | 3.05 |
| Zixiang Chen | 4 | 31 | 4.21 |
| Yongfeng Yang | 5 | 1 | 1.02 |
| Xin Liu | 6 | 90 | 9.93 |
| Hairong Zheng | 7 | 56 | 28.24 |
| Dong Liang | 8 | 47 | 10.50 |
| Zhanli Hu | 9 | 1 | 1.02 |