Name
Title | ||
|---|---|---|
Integrating geometric configuration and appearance information into a unified framework for anatomical landmark localization. |
Abstract | ||
|---|---|---|
•Automatic anatomical landmark localization in the presence of locally similar structures.•Integration of appearance information and geometrical configuration into a random forest.•Optimization of joint landmark predictions using the coordinate descent strategy.•Extensive quantitative evaluation on two 2D X-ray and three different 3D data sets.•Results show state-of-the-art performance and wide applicability. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.media.2017.09.003 | Medical Image Analysis |
Keywords | Field | DocType |
Anatomical landmarks,Localization,Random regression forest,Coordinate descent | Computer vision,ENCODE,Pattern recognition,Imaging modalities,Geometric configuration,Artificial intelligence,Graphical model,Coordinate descent,Random forest,Landmark,Mathematics | Journal |
Volume | ISSN | Citations |
43 | 1361-8415 | 6 |
PageRank | References | Authors |
0.43 | 40 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Martin Urschler | 1 | 347 | 23.94 |
| Thomas Ebner | 2 | 26 | 4.27 |
| Darko Stern | 3 | 115 | 13.31 |