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  4. Segmentation hierarchies and border features for automatic pregnancy detection in porcine ultrasound
 
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2014
Conference Paper
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%.
Author(s)
Schwier, M.
Hahn, H.K.
Mainwork
IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014. Vol.2  
Conference
International Symposium on Biomedical Imaging (ISBI) 2014  
DOI
10.1109/ISBI.2014.6868024
Language
English
Fraunhofer-Institut für Digitale Medizin MEVIS  
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