Presentation of Novel Hybrid Algorithm for Detection and Classification of Breast Cancer Using Growth Region Method and Probabilistic Neural Network

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Method</td><td class="align_center">RMS</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">Growth region hand selection</td><td class="align_center">0.5711</td></tr><tr><td class="align_left">Growth region FCM-GA selection</td><td class="align_center">0.3681</td></tr><tr><td class="align_left">GMM method</td><td class="align_center">0.4216</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Comparison of the proposed algorithm with handy selection FCM-GA and GMM.</div>

Computational Intelligence and Neuroscience

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Table 3

Table 3: Presentation of Novel Hybrid Algorithm for Detection and Classification of Breast Cancer Using Growth Region Method and Probabilistic Neural Network 

Table 3 | Presentation of Novel Hybrid Algorithm for Detection and Classification of Breast Cancer Using Growth Region Method and Probabilistic Neural Network 