Obtaining Thickness Maps of Corneal Layers Using the Optimal Algorithm for Intracorneal Layer Segmentation

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Corneal layer boundary</td><td class="align_center">Mean difference (<i>µ</i>m)</td><td class="align_center">Standard deviation (<i>µ</i>m)</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">Epithelium boundary</td><td class="align_center">0.09922</td><td class="align_center">3.36446</td></tr><tr><td class="align_left">Bowman boundary</td><td class="align_center">1.59654</td><td class="align_center">3.81546</td></tr><tr><td class="align_left">Endothelium boundary</td><td class="align_center">0.39688</td><td class="align_center">8.05486</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Mean and standard deviation of signed error in corneal layer boundary segmentation between automatic and manual segmentation using GMM.

International Journal of Biomedical Imaging

tab2

Table 2

Table 2: Obtaining Thickness Maps of Corneal Layers Using the Optimal Algorithm for Intracorneal Layer Segmentation 