Name
Abstract | ||
|---|---|---|
•Low-dose PET image denoising or reconstruction.•Designed a cycle wasserstein regression adversarial training framework.•Evaluate the maximum and mean standardized uptake value (SUV) deviation on real clinic PET image.•The bias of mean and maximum SUV for lesions and normal tissues are less than 5% and 2%, respectively. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1016/j.media.2020.101770 | Medical Image Analysis |
Keywords | DocType | Volume |
PET,Low-dose,Generative adversarial networks,Cycle consistent | Journal | 65 |
ISSN | Citations | PageRank |
1361-8415 | 2 | 0.49 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Long Zhou | 1 | 29 | 11.00 |
| Joshua D Schaefferkoetter | 2 | 2 | 0.49 |
| I W K Tham | 3 | 4 | 1.25 |
| Gang Huang | 4 | 6 | 4.38 |
| Jianhua Yan | 5 | 2 | 0.49 |