1994, English, Article edition: Segmentation of echocardiographic images with Markov random fields Herlin, Isabelle; Béréziat, Dominique; Giraudon, Gérard; ...

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Bookmark: http://trove.nla.gov.au/version/203243
Physical Description
  • text
Published
  • HAL - CCSD
  • 1994
Language
  • English

Edition details

Title
  • Segmentation of echocardiographic images with Markov random fields
Author
  • Herlin, Isabelle
  • Béréziat, Dominique
  • Giraudon, Gérard
  • Nguyen, C.
  • Graffigne, Christine
Published
  • HAL - CCSD
  • 1994
Physical Description
  • text
Subjects
Notes
  • The aim of this work is to track specific anatomical structures in temporal sequences of echocardiographic images. Ultrasound images are available in two broad data types: raw or video data. Different stochastic processes using different kind of information are compared on the basis of these two data types. We explain the selection of a particular model w.r.t. the type of data, and describe the relevant properties that must be taken into account to obtain the best possible results. The models are expressed within a Markov random field framework and we also discuss parameter estimation and energy minimization for the different models.
  • HAL:inria-00074251, version 1
  • HAL:http:/​/​hal.inria.fr/​inria-00074251/​en/​
Language
  • English
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