Segmentation of echocardiographic images with Markov random fields - Inria - Institut national de recherche en sciences et technologies du numérique Accéder directement au contenu
Communication Dans Un Congrès Année : 1994

Segmentation of echocardiographic images with Markov random fields

Résumé

The aim of this work is to track specific anatomical structures in temporal sequences of echocardiographic images. This paper presents a new spatio-temporal model and describes the relevant spatial and temporal properties that must be taken into consideration to obtain the best possible results. It is expressed within a Markov random field framework and results are presented with different formulations of the temporal properties.

Dates et versions

inria-00532677 , version 1 (04-11-2010)

Identifiants

Citer

Isabelle Herlin, Dominique Béréziat, Gérard Giraudon, Catherine Nguyen, Christine Graffigne. Segmentation of echocardiographic images with Markov random fields. Proceedings of European Conference on Computer Vision, May 1994, Stockholm, Sweden. pp.200-206, ⟨10.1007/BFb0028352⟩. ⟨inria-00532677⟩

Collections

INRIA INRIA2
56 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More