Pulmonary Nodule Detection Model Based on SVM and CT Image Feature-Level Fusion with Rough Sets

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/bmri/volume-2016/8052436/figures/8052436.fig.005a.svgz" name="8052436.fig.005a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Boxplot of ESV</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/bmri/volume-2016/8052436/figures/8052436.fig.005b.svgz" name="8052436.fig.005b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Boxplot of SCDSTD</td></tr></table>

<div>Pulmonary nodule area and the pulmonary nodules boxplot. “+” refers to upper and lower bounders of ESV value and SCDSTD value.</div>

BioMed Research International

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Figure 5

Figure 5: Pulmonary Nodule Detection Model Based on SVM and CT Image Feature-Level Fusion with Rough Sets 