Comparative Study on Automated Cell Nuclei Segmentation Methods for Cytology Pleural Effusion Images

<table class="algorithm-group"><tr><td><table class="algorithm" id="alg7"><tr><td>(1)</td><td>Binarize the image with <i>T</i></td></tr><tr><td>(2)</td><td>Thin the binary image</td></tr><tr><td>(3)</td><td>Remove all branch points</td></tr><tr><td>(4)</td><td>Place the remaining endpoints in line to use as starting point for tracking</td></tr><tr><td>(5)</td><td>Track the object with <i>T</i></td></tr><tr><td>(6)</td><td>Set the criteria <i>T </i>= <i>T</i> − 1 if the object passed testing; otherwise, return to step 5.</td></tr></table></td></tr></table>

<div>: Adaptive thresholding method.</div>

Journal of Healthcare Engineering

alg7

Algorithm 7

Algorithm 7: Comparative Study on Automated Cell Nuclei Segmentation Methods for Cytology Pleural Effusion Images 