A Novel Approach for Objective Assessment of White Blood Cells Using Computational Vision Algorithms

<table class="fixed-width table-group" id="tab3"><tr><td><table class="table"><colgroup><col style="width:10.23em"/><col style="width:6.24em"/><col style="width:5.70em"/><col style="width:4.77em"/><col style="width:5.34em"/><col style="width:6.32em"/></colgroup><tr><td class="thead-hr" colspan="6"><hr/></td></tr><tr><td class="align_left" rowspan="2">correlation percentage</td><td class="align_center">Lymphocyte</td><td class="align_center">Neutrophil</td><td class="align_center">Basophil</td><td class="align_center">Monocyte</td><td class="align_center">Eosinophilic</td></tr><tr><td class="align_center">93.42%</td><td class="align_center">79.52%</td><td class="align_center">100%</td><td class="align_center">97.37%</td><td class="align_center">73.07%</td></tr><tr class="table-tr"><td colspan="6"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Percentages of correlation by type of white blood cell.</div>

Advances in Hematology

tab3

Table 3

Table 3: A Novel Approach for Objective Assessment of White Blood Cells Using Computational Vision Algorithms 