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

<table class="table-group" id="tab5"><tr><td><table class="table"><tr><td class="thead-hr" colspan="7"><hr/></td></tr><tr class="thead"><td class="align_left" rowspan="2">Dataset</td><td class="align_center" colspan="2">Total number of images</td><td class="align_center" colspan="2">Training images</td><td class="align_center" colspan="2">Testing images</td></tr><tr class="thead"><td class="align_center">Normal</td><td class="align_center">Abnormal</td><td class="align_center">Normal</td><td class="align_center">Abnormal</td><td class="align_center">Normal</td><td class="align_center">Abnormal</td></tr><tr><td class="thead-hr" colspan="7"><hr/></td></tr><tr><td class="align_left">Dataset-255</td><td class="align_center">35</td><td class="align_center">220</td><td class="align_center">28</td><td class="align_center">176</td><td class="align_center">7</td><td class="align_center">44</td></tr><tr class="table-tr"><td colspan="7"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Journal of Engineering

tab5

Table 5

Table 5: Brain Tumor Detection and Classification Using IFF-FLICM Segmentation and Optimized ELM Model 