FFU-Net: Feature Fusion U-Net for Lesion Segmentation of Diabetic Retinopathy

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static-preview.hindawi.com/articles/bmri/volume-2021/6644071/figures/6644071.fig.005a.svgz" name="6644071.fig.005a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Original diabetic retina image</td></tr><tr class="fig-image" id="b"><td><object data="https://static-preview.hindawi.com/articles/bmri/volume-2021/6644071/figures/6644071.fig.005b.svgz" name="6644071.fig.005b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Diabetic retina image after preprocessing</td></tr></table>

<div>The comparison between the original diabetic retinopathy image and its corresponding preprocessed result.</div>

BioMed Research International

fig5

Figure 5

Figure 5: FFU-Net: Feature Fusion U-Net for Lesion Segmentation of Diabetic Retinopathy 