Diagnosis of Retinal Diseases Based on Bayesian Optimization Deep Learning Network Using Optical Coherence Tomography Images

<table class="table-group" id="tab3"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Pretrained models</td><td class="align_center">Number of layers added</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">VGG16</td><td class="align_center">2 fully connected + 1 softmax</td></tr><tr><td class="align_left">DenseNet201</td><td class="align_center">2 fully connected + 1 softmax</td></tr><tr><td class="align_left">InceptionV3</td><td class="align_center">1 fully connected + 1 softmax</td></tr><tr><td class="align_left">Xception</td><td class="align_center">1 softmax</td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Modification of the classification block.</div>

Computational Intelligence and Neuroscience

tab3

Table 3

Table 3: Diagnosis of Retinal Diseases Based on Bayesian Optimization Deep Learning Network Using Optical Coherence Tomography Images 