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Publications about vascular network
Result of the query in the list of publications :
2 Conference articles |
1 - Brain tumor vascular network segmentation from micro-tomography. X. Descombes and F. Plouraboue and El Boustani Habdelhkim and Fonta Caroline and |LeDuc Geraldine and Serduc Raphael and Weitkamp Timm. In Internation Symposium of Biomedical Imaging (ISBI), Chicago, USA, April 2011. Keywords : Segmentation, Markov random field, Tomography, Brain, vascular network. Copyright : IEEE
@INPROCEEDINGS{isbi11,
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author |
= |
{Descombes, X. and Plouraboue, F. and Boustani Habdelhkim, El and Caroline, Fonta and Geraldine, |LeDuc and Raphael, Serduc and Timm, Weitkamp}, |
title |
= |
{Brain tumor vascular network segmentation from micro-tomography}, |
year |
= |
{2011}, |
month |
= |
{April}, |
booktitle |
= |
{Internation Symposium of Biomedical Imaging (ISBI)}, |
address |
= |
{Chicago, USA}, |
url |
= |
{http://dx.doi.org/10.1109/ISBI.2011.5872596}, |
keyword |
= |
{Segmentation, Markov random field, Tomography, Brain, vascular network} |
} |
Abstract :
Micro-tomography produces high resolution images of biological structures such as vascular networks. In this paper, we present a new approach for segmenting vascular network into pathological and normal regions from considering their micro-vessel 3D structure only. We define and use a conditional random field for segmenting the output of a watershed algorithm. The tumoral and normal classes are thus characterized by their respective distribution of watershed region size interpreted as local vascular territories. |
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2 - Gap Filling in 3D Vessel like Patterns with Tensor Fields. L. Risser and F. Plouraboue and X. Descombes. In Proc. International Conference on Computer Vision Theory
and Applications, 2007. Keywords : tensor voting, vascular network.
@INPROCEEDINGS{XDbarca1,
|
author |
= |
{Risser, L. and Plouraboue, F. and Descombes, X.}, |
title |
= |
{Gap Filling in 3D Vessel like Patterns with Tensor Fields}, |
year |
= |
{2007}, |
booktitle |
= |
{Proc. International Conference on Computer Vision Theory
and Applications}, |
pdf |
= |
{ftp://ftp-sop.inria.fr/ariana/Articles/2007_XDbarca1.pdf}, |
keyword |
= |
{tensor voting, vascular network} |
} |
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