A Priori Knowledge and Probability Density Based Segmentation Method for Medical CT Image Sequences

<table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="769751.fig.004a" src="https://static.hindawi.com/articles/bmri/volume-2014/769751/figures/769751.fig.004a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>Our method</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="769751.fig.004b" src="https://static.hindawi.com/articles/bmri/volume-2014/769751/figures/769751.fig.004b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>IVLS</td></tr></table></td></tr></table>

<table>Comparison of segmentation results of our proposed method and improved variational level set method.</table>

BioMed Research International

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Figure 4

Figure 4: A Priori Knowledge and Probability Density Based Segmentation Method for Medical CT Image Sequences 