VGG-UNet/VGG-SegNet Supported Automatic Segmentation of Endoplasmic Reticulum Network in Fluorescence Microscopy Images

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/scanning/volume-2022/7733860/figures/7733860.fig.009a.svgz" name="7733860.fig.009a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Conv-layer outcome</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/scanning/volume-2022/7733860/figures/7733860.fig.009b.svgz" name="7733860.fig.009b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Final-Conv</td></tr><tr class="fig-image" id="c"><td><object data="https://static.hindawi.com/articles/scanning/volume-2022/7733860/figures/7733860.fig.009c.svgz" name="7733860.fig.009c" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(c) </b>SoftMax</td></tr><tr class="fig-image" id="d"><td><object data="https://static.hindawi.com/articles/scanning/volume-2022/7733860/figures/7733860.fig.009d.svgz" name="7733860.fig.009d" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(d) </b>Binary</td></tr></table>

<div>Sample results achieved with VGG-UNet.</div>

Scanning

fig9

Figure 9

Figure 9: VGG-UNet/VGG-SegNet Supported Automatic Segmentation of Endoplasmic Reticulum Network in Fluorescence Microscopy Images 