Skip to Main content Skip to Navigation
Conference papers

Segmentation of echocardiographic images with Markov random fields

Abstract : 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.
Document type :
Conference papers
Complete list of metadata
Contributor : Brigitte Briot Connect in order to contact the contributor
Submitted on : Thursday, November 4, 2010 - 1:37:42 PM
Last modification on : Sunday, March 20, 2022 - 9:40:02 PM

Links full text




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⟩



Record views