Name
Title | ||
|---|---|---|
Segmentation hierarchies and border features for automatic pregnancy detection in porcine ultrasound. |
Abstract | ||
|---|---|---|
In this paper we present an automatic method for ultrasound-based early detection of pregnancy in pigs, which is a crucial information for commercial pig farming. We employ a strategy of region-based classification within multiple segmentation hierarchies which is able to efficiently find target structures in a large set of possible segmentations. Furthermore, we present a novel set of border features, effectively capturing the border appearance under the noisy and diffuse conditions inherent to ultrasound images. Tested on 802 image series, our detection algorithm reaches a sensitivity/specificity of 84.2%/86.4%. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/ISBI.2014.6868024 | ISBI |
Keywords | DocType | ISSN |
border features,classification,detection,pattern recognition,segmentation hierarchy,ultrasound | Conference | 1945-7928 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Michael Schwier | 1 | 0 | 0.34 |
| Horst Karl Hahn | 2 | 9 | 2.89 |