Name
Title | ||
|---|---|---|
Automatic Pancreas Segmentation in CT Images with Distance-based Saliency-Aware DenseASPP Network. |
Abstract | ||
|---|---|---|
Pancreas identification and segmentation is an essential task in the diagnosis and prognosis of pancreas disease. Although deep neural networks have been widely applied in abdominal organ segmentation, it is still challenging for small organs (e.g. pancreas) that present low contrast, highly flexible anatomical structure and relatively small region. In recent years, coarse-to-fine methods have imp... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/JBHI.2020.3023462 | IEEE Journal of Biomedical and Health Informatics |
Keywords | DocType | Volume |
Pancreas,Image segmentation,Computed tomography,Shape,Three-dimensional displays,Task analysis | Journal | 25 |
Issue | ISSN | Citations |
5 | 2168-2194 | 0 |
PageRank | References | Authors |
0.34 | 0 | 9 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Peijun Hu | 1 | 28 | 2.02 |
| Xiang Li | 2 | 0 | 1.01 |
| Yu Tian | 3 | 3 | 3.11 |
| Tianyu Tang | 4 | 0 | 0.34 |
| Tian-Shu Zhou | 5 | 182 | 10.18 |
| Xueli Bai | 6 | 0 | 0.68 |
| Shiqiang Zhu | 7 | 0 | 1.69 |
| Tingbo Liang | 8 | 0 | 1.01 |
| Jingsong Li | 9 | 1 | 2.04 |