Name
Abstract | ||
|---|---|---|
Automated segmentation of brain glioma plays an active role in diagnosis decision, progression monitoring and surgery planning. Based on deep neural networks, previous studies have shown promising technologies for brain glioma segmentation. However, these approaches lack powerful strategies to incorporate contextual information of tumor cells and their surrounding, which has been proven as a funda... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TMI.2021.3065918 | IEEE Transactions on Medical Imaging |
Keywords | DocType | Volume |
Image segmentation,Tumors,Graph neural networks,Three-dimensional displays,Feature extraction,Two dimensional displays,Semantics | Journal | 40 |
Issue | ISSN | Citations |
7 | 0278-0062 | 1 |
PageRank | References | Authors |
0.36 | 0 | 10 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhihua Liu | 1 | 6 | 1.43 |
| Lei Tong | 2 | 6 | 1.43 |
| Long Chen | 3 | 1 | 0.36 |
| Feixiang Zhou | 4 | 1 | 1.03 |
| Zheheng Jiang | 5 | 10 | 1.47 |
| Qianni Zhang | 6 | 113 | 24.17 |
| Yinhai Wang | 7 | 292 | 39.37 |
| Caifeng Shan | 8 | 1681 | 80.01 |
| Ling Li | 9 | 1 | 0.36 |
| Huiyu Zhoua | 10 | 1 | 0.36 |