Abstract | ||
---|---|---|
The logarithm of the odds ratio (LogOdds) is frequently used in areas such as artificial neural networks, economics, and biology, as an alternative representation of probabilities. Here, we use LogOdds to place probabilistic atlases in a linear vector space. This representation has several useful properties for medical imaging. For example, it not only encodes the shape of multiple anatomical structures but also captures some information concerning uncertainty. We demonstrate that the resulting vector space operations of addition and scalar multiplication have natural probabilistic interpretations. |
Year | DOI | Venue |
---|---|---|
2007 | 10.1016/j.media.2007.06.003 | Medical Image Analysis |
Keywords | Field | DocType |
Logarithm of odds,Logistic function,Anatomical variations,Shape representation,Distance map,Bayesian modeling,Interpolation,Statistical classification | Population,Signed distance function,Computer science,Distance transform,Artificial intelligence,Probabilistic logic,Computer vision,Pattern recognition,Naive Bayes classifier,Segmentation,Algorithm,Smoothing,Statistical classification | Journal |
Volume | Issue | ISSN |
11 | 5 | 1361-8415 |
Citations | PageRank | References |
48 | 2.09 | 21 |
Authors | ||
8 |
Name | Order | Citations | PageRank |
---|---|---|---|
Kilian Pohl | 1 | 577 | 46.78 |
John W. Fisher III | 2 | 878 | 74.44 |
Sylvain Bouix | 3 | 877 | 55.88 |
Martha Shenton | 4 | 178 | 22.27 |
Robert W. McCarley | 5 | 319 | 39.01 |
W. E. L. Grimson | 6 | 11451 | 2002.95 |
Ron Kikinis | 7 | 6723 | 1071.86 |
William M. Wells III | 8 | 5267 | 833.10 |