Name
Abstract | ||
|---|---|---|
The survey outlines and compares popular computational techniques for quantitative description of shapes of major structural parts of the human brain, including medial axis and skeletal analysis, geodesic distances, Procrustes analysis, deformable models, spherical harmonics, and deformation morphometry, as well as other less widely used techniques. Their advantages, drawbacks, and emerging trends, as well as results of applications, in particular, for computer-aided diagnostics, are discussed. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/JBHI.2014.2298139 | IEEE J. Biomedical and Health Informatics |
Keywords | Field | DocType |
accuracy,skeleton,medial axis,shape,spherical harmonics,informatics,anthropometry,shape analysis | Computer vision,Pattern recognition,Computer science,Medial axis,Procrustes analysis,Spherical harmonics,Artificial intelligence,Geodesic,Shape analysis (digital geometry) | Journal |
Volume | Issue | ISSN |
18 | 4 | 2168-2194 |
Citations | PageRank | References |
1 | 0.36 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Matthew J. Nitzken | 1 | 1 | 0.36 |
| Manuel F. Casanova | 2 | 30 | 7.03 |
| Georgy Gimel'farb | 3 | 38 | 5.98 |
| Tamer Inanc | 4 | 70 | 17.58 |
| Jacek M. Zurada | 5 | 2553 | 226.22 |
| Ayman El-Baz | 6 | 661 | 111.64 |