Comparative Analysis of Skin Cancer (Benign vs. Malignant) Detection Using Convolutional Neural Networks

<table class="table-group" id="tab4"><tr><td><table class="table"><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr class="thead"><td class="align_left">Layer numbers</td><td class="align_center">Parameters</td><td class="align_center">Train loss</td><td class="align_center">Test loss</td><td class="align_center">Highest accuracy (%)</td></tr><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr><td class="align_left">60</td><td class="align_center">24,959,754</td><td class="align_center">0.2359</td><td class="align_center">0.4305</td><td class="align_center">84.39</td></tr><tr class="table-tr"><td colspan="5"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Summary of the analysis of ResNet50.</div>

Journal of Healthcare Engineering

tab4

Table 4

Table 4: Comparative Analysis of Skin Cancer (Benign vs. Malignant) Detection Using Convolutional Neural Networks 