Robust Method for Semantic Segmentation of Whole-Slide Blood Cell Microscopic Images

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">S. no.</td><td class="align_center">Name of cell</td><td class="align_center">Pixel count</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">1</td><td class="align_center">RBCs</td><td class="align_center">2.3076<i>e</i> + 08</td></tr><tr><td class="align_left">2</td><td class="align_center">WBCs</td><td class="align_center">1.5036<i>e</i> + 07</td></tr><tr><td class="align_left">3</td><td class="align_center">Platelets</td><td class="align_center">8.609<i>e</i> + 05</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Pixels counting of blood cell element.</div>

Computational and Mathematical Methods in Medicine

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Table 3

Table 3: Robust Method for Semantic Segmentation of Whole-Slide Blood Cell Microscopic Images 