Name
Title | ||
|---|---|---|
Coupling Deep Deformable Registration with Contextual Refinement for Semi-Supervised Medical Image Segmentation |
Abstract | ||
|---|---|---|
Image segmentation is an important prerequisite of computer-aided diagnosis which has been applied in a wide range of clinical applications. Current learning-based methods mostly rely on sufficient annotated datasets which is expensive and time-consuming. In this study, we develop a semi-supervised learning paradigm integrating contextual refinement into deformable registration-based segmentation ... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/ISBI52829.2022.9761683 | 2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) |
Keywords | DocType | ISSN |
Couplings,Image segmentation,Computer architecture,Anatomical structure,Semisupervised learning,Computer aided diagnosis | Conference | 1945-7928 |
ISBN | Citations | PageRank |
978-1-6654-2923-8 | 0 | 0.34 |
References | Authors | |
0 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ziyang Li | 1 | 0 | 0.34 |
| Zi Li | 2 | 0 | 0.34 |
| Risheng Liu | 3 | 0 | 0.34 |
| Zhongxuan Luo | 4 | 7 | 1.76 |
| Xin Fan | 5 | 776 | 104.55 |