logo EDITE Arnaud BOUCHER
Identité
Arnaud BOUCHER
État académique
Thèse soutenue le 2013-01-10
Sujet: Recalage et analyse d'un couple d'images : Application aux mammographies
Direction de thèse:
Encadrement de thèse:
Laboratoire:
Voisinage
Ellipse bleue: doctorant, ellipse jaune: docteur, rectangle vert: permanent, rectangle jaune: HDR. Trait vert: encadrant de thèse, trait bleu: directeur de thèse, pointillé: jury d'évaluation à mi-parcours ou jury de thèse.
Productions scientifiques
oai:hal.archives-ouvertes.fr:hal-00643177
Segmentation du muscle pectoral sur une mammographie
L'objectif de cette étude est la segmentation du muscle pectoral sur une mammographie. Ce travail a pour but de faciliter le recalage géométrique de paires d'images mammographiques par l'extraction fiable de points de repère. La sémantique de l'image est exploitée pour extraire des points de repère basés sur l'anatomie. La technique d'extraction utilisée est basée sur les contours actifs pour lesquels nous proposons de construire différentes énergies.
ORASISpeer-reviewed article 2009-06-01
oai:hal.archives-ouvertes.fr:hal-00643185
Segmentation of overlapping aggregating nuclei cells in biological images
This paper presents a method of overlapping/aggregating nuclei cells segmentation. This method is based on the watershed segmentation algorithm, but the specificity of this work is to introduce some prior information about the usual shape of normal/pathological nuclei cells. Such prior information will help to optimize the right set of markers, from which the flooding will be done. This approach has been implemented and tested, and the results evaluated by cell biology experts show the efficiency of the proposed approach.
ICPR (Pattern Recognition, 2008)peer-reviewed article 2008-12-11
oai:hal.archives-ouvertes.fr:hal-00643193
Visual perception driven registration of mammograms
This paper aims to develop a methodology to register pairs of temporal mammograms. Control points based on anatomical features are detected in an automated way. Thereby, image semantic is used to extract landmarks based on these control points. A referential is generated from these control points based on this referential the studied images are realigned using different levels of observation leading to both rigid and non-rigid transforms according to expert mammogram reading.
Pattern Recognition (ICPR 2010)peer-reviewed article 2010-08
oai:hal.archives-ouvertes.fr:hal-00643189
Segmentation of complex nucleus configurations in biological images
This paper presents a new segmentation method of complex nucleus configurations. The specificity of this work is to introduce prior information about the usual shape of cells nuclei, in order to optimize the selection of markers from which the flooding will start, during the watershed-based segmentation.
Pattern Recognition Letterspeer-reviewed article 2010-01-25
Soutenance
Thèse: Recalage et analyse d'un couple d'images : application aux mammographies
Soutenance: 2013-01-10
Rapporteurs: Sylvie LELANDAIS    Yue-Min ZHU