Detection of Pulmonary Nodules in CT Images Based on Fuzzy Integrated Active Contour Model and Hybrid Parametric Mixture Model

<table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="515386.fig.007a" src="https://static.hindawi.com/articles/cmmm/volume-2013/515386/figures/515386.fig.007a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>CT original image  </td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="515386.fig.007b" src="https://static.hindawi.com/articles/cmmm/volume-2013/515386/figures/515386.fig.007b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>Detection result </td></tr></table></td></tr></table>

<table>Detection result of the case containing a small GGO nodule.</table>

Computational and Mathematical Methods in Medicine

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Figure 7

Figure 7: Detection of Pulmonary Nodules in CT Images Based on Fuzzy Integrated Active Contour Model and Hybrid Parametric Mixture Model 