Name
Abstract | ||
|---|---|---|
We examine alternative ways of finding the outline of a hand from an X-ray as the first stage in segmenting the image into constituent bones. We assess a variety of algorithms including contouring, which has not previously been used in this context. We introduce a novel ensemble algorithm for combining outlines based on dynamic time warping (DTW). Our goal is to minimise the human intervention required, hence we investigate alternative ways of training a classifier to determine whether an outline is in fact correct or not. We evaluate outlining and classification on a set of 1370 images. We conclude that ensembling improves performance of all outlining algorithms, that the contouring algorithm used with the ensemble performs the best of those assessed, and that the most effective classifier of hand outlines assessed is a random forest applied to outlines transformed into principal components. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1007/978-3-642-23878-9_12 | IDEAL |
Keywords | Field | DocType |
novel ensemble algorithm,dynamic time warping,contouring algorithm,principal component,effective classifier,alternative way,human intervention,constituent bone,random forest | Market segmentation,Dynamic time warping,Pattern recognition,Computer science,Artificial intelligence,Classifier (linguistics),Random forest,Contouring,Machine learning,Principal component analysis | Conference |
Volume | ISSN | Citations |
6936 | 0302-9743 | 7 |
PageRank | References | Authors |
0.75 | 8 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Luke M. Davis | 1 | 138 | 6.37 |
| Barry-John Theobald | 2 | 332 | 25.39 |
| Andoni Toms | 3 | 14 | 1.31 |
| Anthony Bagnall | 4 | 970 | 53.36 |