Name
Title | ||
|---|---|---|
A Shape Analysis Framework For Small Animal Phenotyping With Application To Mice With A Targeted Disruption Of Hoxd11 |
Abstract | ||
|---|---|---|
This paper proposes the use of high-dimensional, point-based shape models for the study of phenotype, which offer some important advantages over traditional morphometrics, including a more detailed representation of shape and a more systematic approach to shape statistics. Our approach allows for the analysis of shape at both global and local scales and can automatically extract lowerdimensional shape features useful for phenotypic characterization. We also demonstrate how covariates can be included in this framework. We apply the proposed modeling framework to a study of bone shape in mice with a targeted disruption of the Hoxd11 gene. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/ISBI.2008.4541045 | 2008 IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: FROM NANO TO MACRO, VOLS 1-4 |
Keywords | Field | DocType |
image shape analysis, genetics, biomedical imaging | Computer vision,Pattern recognition,Computer science,Medical imaging,Artificial intelligence,Shape analysis (digital geometry) | Conference |
ISSN | Citations | PageRank |
1945-7928 | 2 | 0.37 |
References | Authors | |
4 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Joshua E. Cates | 1 | 209 | 17.05 |
| P Thomas Fletcher | 2 | 779 | 51.97 |
| Zachary Warnock | 3 | 2 | 0.37 |
| Ross T. Whitaker | 4 | 27 | 2.99 |