A New Multistage Medical Segmentation Method Based on Superpixel and Fuzzy Clustering

<table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="747549.fig.004a" src="https://static.hindawi.com/articles/cmmm/volume-2014/747549/figures/747549.fig.004a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>The result of superpixel level segmentation</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="747549.fig.004b" src="https://static.hindawi.com/articles/cmmm/volume-2014/747549/figures/747549.fig.004b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>The result of deep segmentation</td></tr></table></td></tr></table>

<table>An example of the typical deep segmentation result.</table>

Computational and Mathematical Methods in Medicine

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Figure 4

Figure 4: A New Multistage Medical Segmentation Method Based on Superpixel and Fuzzy Clustering 