Research on a Pulmonary Nodule Segmentation Method Combining Fast Self-Adaptive FCM and Classification

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/cmmm/volume-2015/185726/figures/185726.fig.0010a.svgz" name="185726.fig.0010a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>162 solid nodules</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/cmmm/volume-2015/185726/figures/185726.fig.0010b.svgz" name="185726.fig.0010b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>97 vascular adhesion nodules</td></tr><tr class="fig-image" id="c"><td><object data="https://static.hindawi.com/articles/cmmm/volume-2015/185726/figures/185726.fig.0010c.svgz" name="185726.fig.0010c" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(c) </b>58 pleural adhesion nodules</td></tr><tr class="fig-image" id="d"><td><object data="https://static.hindawi.com/articles/cmmm/volume-2015/185726/figures/185726.fig.0010d.svgz" name="185726.fig.0010d" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(d) </b>46 GGO nodules</td></tr></table>

<div>Histogram for comparison between our method and manual segmentation.</div>

Computational and Mathematical Methods in Medicine

fig10

Figure 10

Figure 10: Research on a Pulmonary Nodule Segmentation Method Combining Fast Self-Adaptive FCM and Classification 