A Five-Level Wavelet Decomposition and Dimensional Reduction Approach for Feature Extraction and Classification of MR and CT Scan Images

<div class="floats-full-page floats-full-page-other"><h2>Table 5</h2><div class="floats-full-page-caption">Running time comparison (in seconds) of different algorithms.</div><div class="floats-full-page-content"><table class="table-group" id="tab5"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr /></td></tr><tr class="thead"><td class="align_left">[<a href="../../9571262/#B21">23</a>] </td><td class="align_center">[<a href="../../9571262/#B22">24</a>] </td><td class="align_center">[<a href="../../9571262/#B28">26</a>] </td><td class="align_center">Prop. Algo. </td></tr><tr><td class="thead-hr" colspan="4"><hr /></td></tr><tr><td class="align_left">659.5</td><td class="align_center">13.8</td><td class="align_center">14.3</td><td class="align_center">22.4</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr" /></td></tr></table></td></tr></table></div></div>

Table 5 | A Five-Level Wavelet Decomposition and Dimensional Reduction Approach for Feature Extraction and Classification of MR and CT Scan Images

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Table 5: A Five-Level Wavelet Decomposition and Dimensional Reduction Approach for Feature Extraction and Classification of MR and CT Scan Images

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Table 5

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