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Segmentation of Echocardiographic Images with Markov Random Fields

Isabelle Herlin, Dominique Béréziat, Gérard Giraudon, C. Nguyen, Christine Graffigne
ECCV 1994 pp. 201-206
doi:10.1007/BFB0028352 /eccv/1994/herlin1994eccv-segmentation/

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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Cite

Text

Herlin et al. "Segmentation of Echocardiographic Images with Markov Random Fields." European Conference on Computer Vision, 1994. doi:10.1007/BFB0028352

Markdown

[Herlin et al. "Segmentation of Echocardiographic Images with Markov Random Fields." European Conference on Computer Vision, 1994.](https://mlanthology.org/eccv/1994/herlin1994eccv-segmentation/) doi:10.1007/BFB0028352

BibTeX

@inproceedings{herlin1994eccv-segmentation,
  title     = {{Segmentation of Echocardiographic Images with Markov Random Fields}},
  author    = {Herlin, Isabelle and Béréziat, Dominique and Giraudon, Gérard and Nguyen, C. and Graffigne, Christine},
  booktitle = {European Conference on Computer Vision},
  year      = {1994},
  pages     = {201-206},
  doi       = {10.1007/BFB0028352},
  url       = {https://mlanthology.org/eccv/1994/herlin1994eccv-segmentation/}
}