Phase Segmentation Methods for an Automatic Surgical Workflow Analysis

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/ijbi/volume-2017/1985796/figures/1985796.fig.003a.svgz" name="1985796.fig.003a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Input frame</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/ijbi/volume-2017/1985796/figures/1985796.fig.003b.svgz" name="1985796.fig.003b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b><i>FrameDiff</i></td></tr><tr class="fig-image" id="c"><td><object data="https://static.hindawi.com/articles/ijbi/volume-2017/1985796/figures/1985796.fig.003c.svgz" name="1985796.fig.003c" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(c) </b><i>MultiCue</i></td></tr></table>

<div>An example of an input frame and corresponding foreground detection results.</div>

International Journal of Biomedical Imaging

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Figure 3

Figure 3: Phase Segmentation Methods for an Automatic Surgical Workflow Analysis 