Classification of age-related macular degeneration using convolutional-neural-network-based transfer learning

BMC Bioinformatics

Table 9 Classifier accuracy, precision, recall/sensitivity, specificity, and F₁-score obtained by different CNN-based models for testing set

CNN-based model	Accuracy	Average precision	Average recall/sensitivity	Average specificity	Average F₁-score
VGG19-Experiment #5	0.9948	0.9949	0.9948	0.9983	0.9948
Resnet101-Experiment #5	0.9928	0.9928	0.9928	0.9976	0.9928
Resnet50-Experiment #5	0.9917	0.9918	0.9917	0.9972	0.9917
Kermany et al. [7]	0.9610	0.9610	0.9613	0.9870	0.9610
Najeeb et al. [5]	0.9566	0.9592	0.9566	0.9855	0.9563
Nugroho [6]-ResNet	0.8926	0.91	0.89	NA	0.89
Nugroho [6]-DenseNet	0.8802	0.90	0.88	NA	0.88

ISSN: 1471-2105