Name
Abstract | ||
|---|---|---|
ImFEATbox provides a variety of feature extraction algorithms suitable for a large number of post-processing and analysis applications in medical imaging. The toolbox is publicly available and can thus be beneficial to a wide range of researchers working on medical image analysis. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1007/s11548-018-1859-7 | Int. J. Computer Assisted Radiology and Surgery |
Keywords | Field | DocType |
Feature extraction,Toolbox,Medical image analysis,MATLAB,Python | Computer vision,MATLAB,Medical imaging,Feature (computer vision),Toolbox,Image processing,Feature extraction,Artificial intelligence,Medicine,Python (programming language) | Journal |
Volume | Issue | ISSN |
13 | 12 | 1861-6410 |
Citations | PageRank | References |
0 | 0.34 | 16 |
Authors | ||
10 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Annika Liebgott | 1 | 3 | 2.44 |
| Thomas Kustner | 2 | 33 | 6.58 |
| Heiko Strohmeier | 3 | 0 | 0.34 |
| Tobias Hepp | 4 | 18 | 3.16 |
| Philipp Mangold | 5 | 0 | 0.34 |
| Petros Martirosian | 6 | 8 | 2.97 |
| Fabian Bamberg | 7 | 3 | 5.48 |
| Konstantin Nikolaou | 8 | 23 | 4.36 |
| Bin Yang | 9 | 5 | 3.52 |
| Sergios Gatidis | 10 | 31 | 8.17 |