Breast Cancer Pathological Image Classification Based on the Multiscale CNN Squeeze Model

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Model</td><td class="align_center">Number</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">ResNet18</td><td class="align_center">1</td></tr><tr><td class="align_left">SE-ResNet18</td><td class="align_center">2</td></tr><tr><td class="align_left">scSE-ResNet18</td><td class="align_center">3</td></tr><tr><td class="align_left">msSE-ResNet18-2way</td><td class="align_center">4</td></tr><tr><td class="align_left">msSE-ResNet18-3way</td><td class="align_center">5</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Comparison of magnification-related categorization results for all networks.</div>

Computational Intelligence and Neuroscience

tab3

Table 3

Table 3: Breast Cancer Pathological Image Classification Based on the Multiscale CNN Squeeze Model 