Medical Image Classification Based on Deep Features Extracted by Deep Model and Statistic Feature Fusion with Multilayer Perceptron<sup>‬</sup>

<table class="table-group" id="tab4"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Image category</td><td class="align_center">Number of images</td><td class="align_center">Label</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">Melanoma</td><td class="align_center">374</td><td class="align_center">1</td></tr><tr><td class="align_left">Nevus of seborrheic keratosis</td><td class="align_center">1626</td><td class="align_center">2</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>The composition of the ISIC2017 dataset.</div>

Computational Intelligence and Neuroscience

tab4

Table 4

Table 4: Medical Image Classification Based on Deep Features Extracted by Deep Model and Statistic Feature Fusion with Multilayer Perceptron<sup>‬</sup> 

Computational Intelligence and Neuroscience

Medical Image Classification Based on Deep Features Extracted by Deep Model and Statistic Feature Fusion with Multilayer Perceptron‬

Table 4

Medical Image Classification Based on Deep Features Extracted by Deep Model and Statistic Feature Fusion with Multilayer Perceptron^‬