Name
Abstract | ||
|---|---|---|
Liver lesion segmentation is an essential process to assist doctors in hepatocellular carcinoma diagnosis and treatment planning. Multi-modal positron emission tomography and computed tomography (PET-CT) scans are widely utilized due to their complementary feature information for this purpose. However, current methods ignore the interaction of information across the two modalities during feature e... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TMI.2021.3089702 | IEEE Transactions on Medical Imaging |
Keywords | DocType | Volume |
Lesions,Computed tomography,Image segmentation,Liver,Feature extraction,Imaging,Task analysis | Journal | 40 |
Issue | ISSN | Citations |
12 | 0278-0062 | 1 |
PageRank | References | Authors |
0.36 | 0 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhongliang Xue | 1 | 1 | 0.36 |
| Ping Li | 2 | 3 | 1.40 |
| Liang Zhang | 3 | 64 | 10.30 |
| Xiaoyuan Lu | 4 | 19 | 6.43 |
| Guangming Zhu | 5 | 5 | 1.48 |
| Peiyi Shen | 6 | 7 | 3.57 |
| Syed Afaq Ali Shah | 7 | 90 | 15.23 |
| Mohammed Bennamoun | 8 | 1 | 0.36 |