Name
Title | ||
|---|---|---|
Image quality assessment for machine learning tasks using meta-reinforcement learning |
Abstract | ||
|---|---|---|
•Introduce task amenability for quantifying task-specific image quality assessment•Propose meta-reinforcement learning algorithms for learning label-efficient, adaptable task amenability•Select task amenable data for improving performance in three tasks from two clinical applications |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1016/j.media.2022.102427 | Medical Image Analysis |
Keywords | DocType | Volume |
Meta-reinforcement learning,Image quality assessment,Task amenability,Meta-learning | Journal | 78 |
ISSN | Citations | PageRank |
1361-8415 | 0 | 0.34 |
References | Authors | |
0 | 11 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shaheer U. Saeed | 1 | 0 | 0.34 |
| Yunguan Fu | 2 | 0 | 0.34 |
| Vasilis Stavrinides | 3 | 0 | 0.34 |
| Zachary M. C. Baum | 4 | 0 | 1.35 |
| Qianye Yang | 5 | 0 | 3.38 |
| Mirabela Rusu | 6 | 8 | 9.48 |
| Richard Fan | 7 | 4 | 4.36 |
| Geoffrey A. Sonn | 8 | 0 | 1.01 |
| J. Alison Noble | 9 | 2001 | 203.21 |
| Dean C. Barratt | 10 | 0 | 0.34 |
| Yipeng Hu | 11 | 0 | 0.34 |