Name
Title | ||
|---|---|---|
Interactive Few-Shot Learning: Limited Supervision, Better Medical Image Segmentation |
Abstract | ||
|---|---|---|
Many known supervised deep learning methods for medical image segmentation suffer an expensive burden of data annotation for model training. Recently, few-shot segmentation methods were proposed to alleviate this burden, but such methods often showed poor adaptability to the target tasks. By prudently introducing interactive learning into the few-shot learning strategy, we develop a novel few-shot... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TMI.2021.3060551 | IEEE Transactions on Medical Imaging |
Keywords | DocType | Volume |
Image segmentation,Task analysis,Biomedical imaging,Training,Annotations,Deep learning,Optimization | Journal | 40 |
Issue | ISSN | Citations |
10 | 0278-0062 | 0 |
PageRank | References | Authors |
0.34 | 0 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ruiwei Feng | 1 | 2 | 4.41 |
| Xiangshang Zheng | 2 | 2 | 1.39 |
| Tianxiang Gao | 3 | 0 | 0.34 |
| Jintai Chen | 4 | 4 | 4.12 |
| Wenzhe Wang | 5 | 8 | 2.80 |
| Danny Z Chen | 6 | 3 | 0.70 |
| Jian Wu | 7 | 933 | 95.62 |