Segmentation of echocardiographic images with Markov random fields
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.
KeywordsSegmentation Markov Random Field Stochastic Process Medical Images Ultrasound
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