Construction of Diagnosis Model of Moyamoya Disease Based on Convolution Neural Network Algorithm

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Diagnostic efficiency</td><td class="align_center">Before</td><td class="align_center">After</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">Precision</td><td class="align_center">79.68%</td><td class="align_center">96.38%</td></tr><tr><td class="align_left">Accuracy</td><td class="align_center">81.45%</td><td class="align_center">97.59%</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Diagnostic efficiency before and after image preprocessing.</div>

Computational and Mathematical Methods in Medicine

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Table 1

Table 1: Construction of Diagnosis Model of Moyamoya Disease Based on Convolution Neural Network Algorithm 