Name
Title | ||
|---|---|---|
Considering anatomical prior information for low-dose CT image enhancement using attribute-augmented Wasserstein generative adversarial networks |
Abstract | ||
|---|---|---|
•Anatomical prior information is introduced to estimate high-resolution CT images.•A united framework is applied instead of designing multiple models for individual human body sites.•An improved performance is achieved by Wasserstein GAN with an attribute loss function. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.neucom.2020.10.077 | Neurocomputing |
Keywords | DocType | Volume |
Low-dose CT,Image enhancement,Anatomical prior information,Attribute augmentation,Weight prediction | Journal | 428 |
ISSN | Citations | PageRank |
0925-2312 | 1 | 0.35 |
References | Authors | |
0 | 12 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhenxing Huang | 1 | 1 | 1.02 |
| Xinfeng Liu | 2 | 1 | 0.35 |
| Rongpin Wang | 3 | 1 | 3.05 |
| Jincai Chen | 4 | 4 | 1.44 |
| Ping Lu | 5 | 1 | 0.69 |
| Qiyang Zhang | 6 | 5 | 2.10 |
| Changhui Jiang | 7 | 3 | 1.06 |
| Yongfeng Yang | 8 | 1 | 1.02 |
| Xin Liu | 9 | 25 | 6.64 |
| Hairong Zheng | 10 | 56 | 28.24 |
| Dong Liang | 11 | 131 | 14.36 |
| Zhanli Hu | 12 | 1 | 1.02 |