A Computationally Virtual Histological Staining Method to Ovarian Cancer Tissue by Deep Generative Adversarial Networks

<table class="table-group" id="tab4"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td class="align_left"></td><td class="align_center">Doctor 1</td><td class="align_center">Doctor 2</td><td class="align_center">Doctor 3</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left">Samples with successful staining</td><td class="align_center">190</td><td class="align_center">196</td><td class="align_center">194</td></tr><tr><td class="align_left">Accuracy</td><td class="align_center">95%</td><td class="align_center">98%</td><td class="align_center">97%</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Staining accuracy of our model analyzed by three doctors.</div>

Computational and Mathematical Methods in Medicine

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Table 4

Table 4: A Computationally Virtual Histological Staining Method to Ovarian Cancer Tissue by Deep Generative Adversarial Networks 