Optimal Deep Learning Enabled Prostate Cancer Detection Using Microarray Gene Expression

<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">Methods</td><td class="align_center">Accuracy</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">PLR-MC</td><td class="align_center">0.9460</td></tr><tr><td class="align_left">RFLD-MC</td><td class="align_center">0.9340</td></tr><tr><td class="align_left">Bio-HEL</td><td class="align_center">0.9400</td></tr><tr><td class="align_left">SVM model</td><td class="align_center">0.9120</td></tr><tr><td class="align_left">GA-KNN + SVM</td><td class="align_center">0.8571</td></tr><tr><td class="align_left">CSF-RC</td><td class="align_center">0.9510</td></tr><tr><td class="align_left">Optimal DNN</td><td class="align_center">0.9621</td></tr><tr><td class="align_left">AIFSDL-PCD</td><td class="align_center">0.9719</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Comparative analysis of AIFSDL-PCD approach with existing techniques.</div>

Journal of Healthcare Engineering

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Table 3

Table 3: Optimal Deep Learning Enabled Prostate Cancer Detection Using Microarray Gene Expression 