Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Chantal Revol-Muller"'
Autor:
Christophe Odet, Françoise Peyrin, André Briguet, Chantal Revol-Muller, Hugues Benoit-Cattin, Y. Carillon
Publikováno v:
IEEE Transactions on Nuclear Science
IEEE Transactions on Nuclear Science, Institute of Electrical and Electronics Engineers, 2002, 49 (1), pp.220-224. ⟨10.1109/TNS.2002.998755⟩
IEEE Transactions on Nuclear Science, Institute of Electrical and Electronics Engineers, 2002, 49 (1), pp.220-224. ⟨10.1109/TNS.2002.998755⟩
International audience; In this paper, we propose an original scheme to assess the efficiency of segmentation algorithms requested to quantify bone architecture from three-dimensional (3-D) micromagnetic resonance imaging (/spl mu/MRI) techniques. Ou
Autor:
Jean-Loïc Rose, Françoise Peyrin, Alexandra Pacureanu, Christophe Odet, Thomas Grenier, Chantal Revol-Muller
Publikováno v:
Communications in Computer and Information Science Computer Vision, Imaging and Computer Graphics. Theory and Application
G. Csurka, M. Kraus, R. S. Laramee, P. Richard, J. Braz. Communications in Computer and Information Science Computer Vision, Imaging and Computer Graphics. Theory and Application, Springer, pp.426-444, 2013, 978-3-642-38241-3. ⟨10.1007/978-3-642-38241-3_29⟩
Communications in Computer and Information Science ISBN: 9783642382406
VISIGRAPP (Selected Papers)
G. Csurka, M. Kraus, R. S. Laramee, P. Richard, J. Braz. Communications in Computer and Information Science Computer Vision, Imaging and Computer Graphics. Theory and Application, Springer, pp.426-444, 2013, 978-3-642-38241-3. ⟨10.1007/978-3-642-38241-3_29⟩
Communications in Computer and Information Science ISBN: 9783642382406
VISIGRAPP (Selected Papers)
International audience; Region growing is one of the most intuitive techniques for image segmentation. Starting from one or more seeds, it seeks to extract meaningful objects by iteratively aggregating surrounding pixels. Starting from this simple de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::037c8972eb9183a21d41853faf78397e
https://hal.archives-ouvertes.fr/hal-00828473
https://hal.archives-ouvertes.fr/hal-00828473
Publikováno v:
International Conference on Image Processing Theory, Tools and Applications, IPTA'12
International Conference on Image Processing Theory, Tools and Applications, IPTA'12, Oct 2012, Istanbul, Turkey. pp.116-120, ⟨10.1109/IPTA.2012.6469571⟩
IPTA
International Conference on Image Processing Theory, Tools and Applications, IPTA'12, Oct 2012, Istanbul, Turkey. pp.116-120, ⟨10.1109/IPTA.2012.6469571⟩
IPTA
International audience; In this paper, we propose two solutions to integrate shape prior in a segmentation process based on region growing. Our special region growing algorithm relies upon a variational framework which allows to easily take into acco
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0a85d9d84b4616cd72e71cd7ee6b7d1f
https://hal.archives-ouvertes.fr/hal-00840893
https://hal.archives-ouvertes.fr/hal-00840893
Autor:
Vanessa Perez Romanello, Juan Carlos Prieto, Marcela Hernández Hoyos, Carolina Perez Romanello, Christophe Odet, Maciej Orkisz, Chantal Revol-Muller
Publikováno v:
CLEI
A method to semi-automatically segment the pulmonary vascular tree from computed axial tomography (CAT) images is presented. The main goal is to aid the diagnosis and treatment of acute respiratory distress syndrome and pulmonary embolism. The propos
Publikováno v:
Medical Imaging: Computer-Aided Diagnosis
In decision making processes where we have to deal with epistemic uncertainties, the Dempster-Shafer theory (DST) of evidence and fuzzy logic have gained prominence as the methods of choice over traditional probabilistic methods. The DST is unfortuna
Autor:
Françoise Peyrin, Chantal Revol-Muller, Alexandra Pacureanu, Jean-Loïc Rose, Maria Sanchez Ruiz
Publikováno v:
ISBI
Advances in imaging techniques lead to nondestructive 3D visualization of biological tissue at a sub-cellular scale. As a consequence, new demands emerge to segment complex structures. For instance, synchrotron radiation micro-CT, makes it possible t
Autor:
Raymond Cartier, El-Bey Bourennane, François Brunotte, Jean-Loïc Rose, Alain Lalande, Olivier Bouchot, Patricia Ugolini, Chantal Revol-Muller, Paul Walker
Publikováno v:
Magnetic Resonance Imaging
Magnetic Resonance Imaging, Elsevier, 2010, 28 (2), pp.255-263. ⟨10.1016/j.mri.2009.07.001⟩
Magnetic Resonance Imaging, Elsevier, 2010, 28 (2), pp.255-263. 〈10.1016/j.mri.2009.07.001〉
Magnetic Resonance Imaging, Elsevier, 2010, 28 (2), pp.255-263. ⟨10.1016/j.mri.2009.07.001⟩
Magnetic Resonance Imaging, Elsevier, 2010, 28 (2), pp.255-263. 〈10.1016/j.mri.2009.07.001〉
International audience; Abstract: Magnetic resonance imaging (MRI) is particularly well adapted to the evaluation of aortic distensibility. The calculation of this parameter, based on the change in vessel cross-sectional area per unit change in blood
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b50e96f405de8d631eea3c56b0794c78
https://hal.archives-ouvertes.fr/hal-00785371
https://hal.archives-ouvertes.fr/hal-00785371
Publikováno v:
ICIP
Region growing has become a popular method for 3D segmentation. Starting from a seed, this approach allows one to extract a region by merging all its neighbors and comparing the extracted region to a reference. Here, we present an alternative approac
Publikováno v:
ISBI
We propose an automated region growing integrating adaptive shape prior in order to segment biomedical images. In our work, the segmentation method is improved by taking into account a shape reference model by non-linear way. Thus, the proposed metho
Publikováno v:
ICIP
ICIP\textquoteright06
ICIP\textquoteright06, 2006, Atlanta, USA, Unknown Region. pp.1541-1544
ICIP\textquoteright06
ICIP\textquoteright06, 2006, Atlanta, USA, Unknown Region. pp.1541-1544
In ultrasound imaging, robustness of the diagnosis can be improved by using many images of parameters. In this paper we propose a hybrid approach for improving multi-parametric mean shift filtering (MPMS). Multi-parametric filtering is really attract