A Hybrid DE-RGSO-ELM for Brain Tumor Tissue Categorization in 3D Magnetic Resonance Images

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td align="left">Dataset</td><td align="center">Number of cases</td><td align="center">Tumor types</td><td align="center">Slices</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td align="left">Surgical Planning Laboratory (SPL) (Harvard Medical School, Brigham and Women’s Hospital, Boston)</td><td align="center">10</td><td align="center">Astrocytoma (3) <br/>Meningiomas (3) <br/>Gliomas (4)</td><td align="center">124 slices each</td></tr><tr><td align="center" colspan="4"><hr/></td></tr><tr><td align="left">McConnell Brain Imaging Centre (Montreal Neurological Institute)</td><td align="center">20</td><td align="center">Healthy MRI brain </td><td align="center">30 slices each</td></tr><tr><td align="center" colspan="4"><hr/></td></tr><tr><td align="left">PSG Institute of Medical Science and Research (Coimbatore)</td><td align="center">70</td><td align="center">Meningiomas (28) <br/>Gliomas (35)<br/>Normal (7)</td><td align="center">100 slices each</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Mathematical Problems in Engineering

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Table 2: A Hybrid DE-RGSO-ELM for Brain Tumor Tissue Categorization in 3D Magnetic Resonance Images 