The Edge Detectors Suitable for Retinal OCT Image Segmentation

<table class="table-group" id="tab6"><tr><td><table class="table"><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr class="thead"><td class="align_left">Edge detectors</td><td class="align_center">FOM<sub>ADJ</sub></td><td class="align_center">TPR<sub>ADJ</sub></td><td class="align_center">FPR<sub>ADJ</sub></td><td class="align_center">ACC<sub>ADJ</sub></td></tr><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr><td class="align_left">Canny edge detector</td><td class="align_center">0.51 ± 0.026</td><td class="align_center">0.88 ± 0.0841</td><td class="align_center">0.12 ± 0.0848</td><td class="align_center">0.99 ± 0.0024</td></tr><tr><td class="align_left">Two-pass edge detection algorithm</td><td class="align_center">0.81 ± 0.0416</td><td class="align_center">0.91 ± 0.0277</td><td class="align_center">0.093 ± 0.0355</td><td class="align_center">0.99 ± 0.0009</td></tr><tr><td class="align_left">Edge flow technique</td><td class="align_center">0.66 ± 0.0409</td><td class="align_center">0.85 ± 0.0125</td><td class="align_center">0.16 ± 0.014</td><td class="align_center">0.99 ± 0.0004</td></tr><tr class="table-tr"><td colspan="5"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

FOM<sub>ADJ</sub>, TPR<sub>ADJ</sub>, FPR<sub>ADJ</sub>, and ACC<sub>ADJ</sub> after redefining the detected edges.

Journal of Healthcare Engineering

The Edge Detectors Suitable for Retinal OCT Image Segmentation

Table 6