• Corpus ID: 5820521

Automatic Segmentation of Echocardiographic Images Using Full Causal Hidden Markov Model

@inproceedings{Suphalakshmi2009AutomaticSO,
  title={Automatic Segmentation of Echocardiographic Images Using Full Causal Hidden Markov Model},
  author={A. Suphalakshmi},
  year={2009}
}
Echocardiography with delineated ventricle borders is a principal technique for quantitative assessment of cardiac function. As it is, most of the prevailing segmentation methods suffer in detecting edges at equivocal regions. This paper presents an effective method for tracking Left Ventricle borders in echocardiographic images, using texture features and Hidden Markov Model. We have applied a Full Causal two dimensional Hidden Markov Model (FCHMM) in which the state transition probability… 

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