3D Medical Volume Segmentation Using Hybrid Multiresolution Statistical Approaches

<table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="520427.fig.0016a" src="https://static.hindawi.com/articles/aai/volume-2010/520427/figures/520427.fig.0016a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>Segmented volume using 3D-thresholding</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="520427.fig.0016b" src="https://static.hindawi.com/articles/aai/volume-2010/520427/figures/520427.fig.0016b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>3D-DWT for DATA SET 1</td></tr></table></td></tr><tr class="fig-image" id="c"><td><img alt="520427.fig.0016c" src="https://static.hindawi.com/articles/aai/volume-2010/520427/figures/520427.fig.0016c.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(c) </b>3D-DWT for DATA SET 2</td></tr></table></td></tr></table>

<table>3D segmentation techniques.</table>

Advances in Artificial Intelligence

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Figure 16

Figure 16: 3D Medical Volume Segmentation Using Hybrid Multiresolution Statistical Approaches 