@InProceedings{FrancescoCiompi2009,
author="Francesco Ciompi
and Oriol Pujol
and E Fernandez-Nofrerias
and J. Mauri
and Petia Radeva",
title="ECOC Random Fields for Lumen Segmentation in Radial Artery IVUS Sequences",
booktitle="12th International Conference on Medical Image and Computer Assisted Intervention",
year="2009",
publisher="Springer Berlin Heidelberg",
volume="5762",
number="II",
abstract="The measure of lumen volume on radial arteries can be used to evaluate the vessel response to different vasodilators. In this paper, we present a framework for automatic lumen segmentation in longitudinal cut images of radial artery from Intravascular ultrasound sequences. The segmentation is tackled as a classification problem where the contextual information is exploited by means of Conditional Random Fields (CRFs). A multi-class classification framework is proposed, and inference is achieved by combining binary CRFs according to the Error-Correcting-Output-Code technique. The results are validated against manually segmented sequences. Finally, the method is compared with other state-of-the-art classifiers.",
optnote="MILAB;HuPBA",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=1228), last updated on Tue, 17 Dec 2013 15:20:05 +0100",
isbn="978-3-642-04270-6",
issn="0302-9743",
doi="10.1007/978-3-642-04271-3_105"
}