Detection of Subarachnoid Hemorrhage in Computed Tomography Using Association Rules Mining

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td class="align_left">Classification type</td><td class="align_center">Group</td><td class="align_center">Number of images</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td class="align_left">Normal</td><td class="align_center">50</td><td class="align_center">900</td></tr><tr><td class="align_left">Abnormal</td><td class="align_center">15</td><td class="align_center">300</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Quantity and grouping of the data image.</div>

Computational Intelligence and Neuroscience

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Table 2

Table 2: Detection of Subarachnoid Hemorrhage in Computed Tomography Using Association Rules Mining 