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

<table class="algorithm-group"><tr><td><table class="algorithm" id="alg2"><tr><td>(1)</td><td>Set the initial value of threshold (T)</td></tr><tr><td>(2)</td><td>Segment the images into two regions (R1 and R2) using T with this formation (R1 &lt; T and R2 ≥ T)</td></tr><tr><td>(3)</td><td>Find the mean intensity level (u1) for R1 and (u2) for R2</td></tr><tr><td>(4)</td><td>Find new threshold value (T = (u1 + u2)/2)</td></tr><tr><td>(5)</td><td>Iterate steps 2 to 4 to find the difference in T. Select T when it is smaller than the predefined parameter.</td></tr></table></td></tr></table>

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

Journal of Healthcare Engineering

alg2

Algorithm 2

Algorithm 2: Comparative Study on Automated Cell Nuclei Segmentation Methods for Cytology Pleural Effusion Images 