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.
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Communication dans un congrès
Proceedings of European Conference on Computer Vision, May 1994, Stockholm, Sweden. 801, pp.200-206, 1994, Lecture Notes in Control and Information Sciences. 〈10.1007/BFb0028352〉
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https://hal.inria.fr/inria-00532677
Contributeur : Brigitte Briot <>
Soumis le : jeudi 4 novembre 2010 - 13:37:42
Dernière modification le : samedi 27 janvier 2018 - 01:31:02

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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. 801, pp.200-206, 1994, Lecture Notes in Control and Information Sciences. 〈10.1007/BFb0028352〉. 〈inria-00532677〉

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