Automated Pulmonary Nodule Classification in Computed Tomography Images Using a Deep Convolutional Neural Network Trained by Generative Adversarial Networks

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/bmri/volume-2019/6051939/figures/6051939.fig.002a.svgz" name="6051939.fig.002a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Examples of benign nodules</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/bmri/volume-2019/6051939/figures/6051939.fig.002b.svgz" name="6051939.fig.002b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Examples of malignant nodules</td></tr></table>

BioMed Research International

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Figure 2: Automated Pulmonary Nodule Classification in Computed Tomography Images Using a Deep Convolutional Neural Network Trained by Generative Adversarial Networks 

Figure 2 | Automated Pulmonary Nodule Classification in Computed Tomography Images Using a Deep Convolutional Neural Network Trained by Generative Adversarial Networks 