Fusion d'informations et segmentation d'images basées sur la théorie des fonctions de croyance : Application à l'imagerie médicale TEP multi-traceurs. (Information fusion and image segmentation based on belief function theory: Application to multi-tracer PET medical imaging).
Please log in to take part in the discussion (add own reviews or comments).
Cite this publication
More citation styles
- please select -
%0 Thesis
%1 phd/hal/Lelandais13
%A Lelandais, Benoît
%D 2013
%K dblp
%T Fusion d'informations et segmentation d'images basées sur la théorie des fonctions de croyance : Application à l'imagerie médicale TEP multi-traceurs. (Information fusion and image segmentation based on belief function theory: Application to multi-tracer PET medical imaging).
@phdthesis{phd/hal/Lelandais13,
added-at = {2016-06-29T00:00:00.000+0200},
author = {Lelandais, Benoît},
biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2358ae8ab630793afae0276ab544db145/dblp},
ee = {https://tel.archives-ouvertes.fr/tel-00912534},
interhash = {6996c2f4d23ea3842c6a6b4aadc04882},
intrahash = {358ae8ab630793afae0276ab544db145},
keywords = {dblp},
school = {University of Rouen, France},
timestamp = {2016-06-30T09:32:21.000+0200},
title = {Fusion d'informations et segmentation d'images basées sur la théorie des fonctions de croyance : Application à l'imagerie médicale TEP multi-traceurs. (Information fusion and image segmentation based on belief function theory: Application to multi-tracer PET medical imaging).},
year = 2013
}
