Name
Title | ||
|---|---|---|
Hippocampus Segmentation and SPHARM Coefficient Selection are Decisive for MCI Detection. |
Abstract | ||
|---|---|---|
Spherical Harmonics (SPHARM), when computed from hippocampus segmentation, have been shown to be useful features for discriminatingMCI affected patients from healthy controls. In this paper we assess the impact (i) of using different hippocampus segmentation techniques, among them three out-of-the-box automated segmentation tools and three human raters with different qualification, and (ii) of applying different strategies which SPHARM coefficients to submit to SVM-based two-class classification. We find that both choices are crucial for successful classification. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1007/978-3-662-56537-7_65 | Bildverarbeitung für die Medizin |
Field | DocType | Citations |
Pattern recognition,Computer science,Segmentation,Support vector machine,Spherical harmonics,Artificial intelligence,Hippocampus | Conference | 0 |
PageRank | References | Authors |
0.34 | 0 | 9 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andreas Uhl | 1 | 1958 | 223.07 |
| Michael Liedlgruber | 2 | 30 | 5.89 |
| K. Butz | 3 | 1 | 1.05 |
| Yvonne Höller | 4 | 17 | 5.31 |
| G. Kuchukhidze | 5 | 1 | 0.71 |
| A. Taylor | 6 | 1 | 0.71 |
| A. Thomschevwki | 7 | 0 | 0.34 |
| O. Tomasi | 8 | 0 | 0.34 |
| Eugen Trinka | 9 | 2 | 2.76 |