Name
Title | ||
|---|---|---|
Utilizing GCN and Meta-Learning Strategy in Unsupervised Domain Adaptation for Pancreatic Cancer Segmentation |
Abstract | ||
|---|---|---|
Automated pancreatic cancer segmentation is highly crucial for computer-assisted diagnosis. The general practice is to label images from selected modalities since it is expensive to label all modalities. This practice brought about a significant interest in learning the knowledge transfer from the labeled modalities to unlabeled ones. However, the imaging parameter inconsistency between modalities... |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1109/JBHI.2021.3085092 | IEEE Journal of Biomedical and Health Informatics |
Keywords | DocType | Volume |
Cancer,Image segmentation,Adaptation models,Visualization,Magnetic resonance imaging,Annotations,Task analysis | Journal | 26 |
Issue | ISSN | Citations |
1 | 2168-2194 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jun Li | 1 | 0 | 0.68 |
| Chaolu Feng | 2 | 0 | 0.34 |
| Xiaozhu Lin | 3 | 0 | 0.34 |
| Xiaohua Qian | 4 | 4 | 3.78 |