Brain Tumor Detection and Classification Using IFF-FLICM Segmentation and Optimized ELM Model

<table class="table-group" id="tab10"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left" rowspan="2">Algorithm</td><td class="align_center" colspan="2">Rician noise</td></tr><tr class="thead"><td class="align_center">SSIM</td><td class="align_center">PSNR (dB)</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">EnFCM</td><td class="align_center">0.7324</td><td class="align_center">23.17</td></tr><tr><td class="align_left">NDFCM</td><td class="align_center">0.8954</td><td class="align_center">28.54</td></tr><tr><td class="align_left">FLICM</td><td class="align_center">0.9317</td><td class="align_center">32.59</td></tr><tr><td class="align_left">IFF-FLICM</td><td class="align_center"><b>0.9823</b></td><td class="align_center"><b>37.24</b></td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Quality measures with Rician noise.</div>

Journal of Engineering

tab10

Table 10

Table 10: Brain Tumor Detection and Classification Using IFF-FLICM Segmentation and Optimized ELM Model 