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-preview.hindawi.com/articles/scanning/volume-2022/7733860/figures/7733860.fig.002a.svgz" name="7733860.fig.002a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Test image (8-bit)</td></tr><tr class="fig-image" id="b"><td><object data="https://static-preview.hindawi.com/articles/scanning/volume-2022/7733860/figures/7733860.fig.002b.svgz" name="7733860.fig.002b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Histogram (16-bit)</td></tr><tr class="fig-image" id="c"><td><object data="https://static-preview.hindawi.com/articles/scanning/volume-2022/7733860/figures/7733860.fig.002c.svgz" name="7733860.fig.002c" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(c) </b>Histogram (8-bit)</td></tr></table>

<div>Sample test image and the 16-bit and 8-bit histogram values.</div>

Scanning

fig2

Figure 2

Figure 2: VGG-UNet/VGG-SegNet Supported Automatic Segmentation of Endoplasmic Reticulum Network in Fluorescence Microscopy Images 