Feature Representation Using Deep Autoencoder for Lung Nodule Image Classification

<table class="fixed-width table-group" id="tab8"><tr><td><table class="table"><colgroup><col style="width:8.81em"/><col style="width:6.43em"/></colgroup><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Number of models</td><td class="align_center">Performance</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">1</td><td class="align_center">0.939</td></tr><tr><td class="align_left">5</td><td class="align_center">0.952</td></tr><tr><td class="align_left">6</td><td class="align_center">0.954</td></tr><tr><td class="align_left">7</td><td class="align_center">0.955</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Performance of model ensemble.</div>

Complexity

tab8

Table 8

Table 8: Feature Representation Using Deep Autoencoder for Lung Nodule Image Classification 