Name
Title | ||
|---|---|---|
Asymmetric multi-task attention network for prostate bed segmentation in computed tomography images |
Abstract | ||
|---|---|---|
•The first exploration using deep learning methods to segment prostate bed in CT images.•Asymmetric multi-task network taking reference from OAR to facilitate PB segmentation.•Attention mechanisms selecting discriminative features for accurate PB segmentation.•Concurrent segmentation of bladder and rectum for OAR definition in radiotherapy. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1016/j.media.2021.102116 | Medical Image Analysis |
Keywords | DocType | Volume |
Segmentation,Prostate bed,Computed tomography,Deep learning,Multi-task,Attention mechanism | Journal | 72 |
ISSN | Citations | PageRank |
1361-8415 | 1 | 0.35 |
References | Authors | |
0 | 10 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xuanang Xu | 1 | 15 | 3.09 |
| Chunfeng Lian | 2 | 132 | 22.61 |
| Shuai Wang | 3 | 24 | 2.98 |
| Tong Zhu | 4 | 1 | 0.35 |
| Ronald Chen | 5 | 16 | 2.04 |
| Andrew Z Wang | 6 | 2 | 0.74 |
| Trevor J Royce | 7 | 1 | 0.35 |
| Pew-Thian Yap | 8 | 1 | 0.35 |
| Dinggang Shen | 9 | 7837 | 611.27 |
| Jun Lian | 10 | 83 | 7.32 |