Name
Title | ||
|---|---|---|
Joint Vertebrae Identification and Localization in Spinal CT Images by Combining Short- and Long-Range Contextual Information. |
Abstract | ||
|---|---|---|
Automatic vertebrae identification and localization from arbitrary computed tomography (CT) images is challenging. Vertebrae usually share similar morphological appearance. Because of pathology and the arbitrary field-of-view of CT scans, one can hardly rely on the existence of some anchor vertebrae or parametric methods to model the appearance and shape. To solve the problem, we argue that: 1) on... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TMI.2018.2798293 | IEEE Transactions on Medical Imaging |
Keywords | DocType | Volume |
Three-dimensional displays,Computed tomography,Feature extraction,Task analysis,Biomedical imaging,Two dimensional displays,Pathology | Journal | 37 |
Issue | ISSN | Citations |
5 | 0278-0062 | 7 |
PageRank | References | Authors |
0.45 | 26 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Haofu Liao | 1 | 27 | 6.97 |
| Addisu Mesfin | 2 | 7 | 0.45 |
| Jiebo Luo | 3 | 6314 | 374.00 |