Modeling of Human Skin by the Use of Deep Learning

<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">Measures</td><td class="align_center">Meaning of measures</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">TP</td><td class="align_center">Number of tumor images that are correctly classified as melanoma cells (malignant); that is, the target output is correct.</td></tr><tr><td class="align_left">TN</td><td class="align_center">Number of cells images that are correctly classified as melanoma cells (benign); that is, the target output is correct.</td></tr><tr><td class="align_left">FP</td><td class="align_center">Number of tumor images that are incorrectly classified as normal cells (malignant); that is, the target output is incorrect.</td></tr><tr><td class="align_left">FN</td><td class="align_center">Number of tumor images that are incorrectly classified as normal cells (benign); that is, the target output is incorrect.</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>The meanings of TP, TN, FP, and PN.</div>

Complexity

tab3

Table 3

Table 3: Modeling of Human Skin by the Use of Deep Learning 