Image-Processing Scheme to Detect Superficial Fungal Infections of the Skin

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr class="thead"><td align="left"> </td><td align="center">Infected images</td><td align="center">Uninfected images</td></tr><tr><td class="thead-hr" colspan="3"><hr/></td></tr><tr><td align="left">Total amount</td><td align="center">194</td><td align="center">221</td></tr><tr><td align="left">Classified correctly</td><td align="center">160</td><td align="center">174</td></tr><tr><td align="center" colspan="3"><hr/></td></tr><tr><td align="left">Classified correctly in %</td><td align="center">83</td><td align="center">79</td></tr><tr class="table-tr"><td colspan="3"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Total performance of the algorithm for 415 clinical fluorescence microscopy images.

Computational and Mathematical Methods in Medicine

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Table 3

Table 3: Image-Processing Scheme to Detect Superficial Fungal Infections of the Skin 