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Comparing different deep learning architectures for classification of chest radiographs

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Figure 2.  ROC-curves for the models with ResNet architectures. The colored lines represent a single training,  black lines represent the pooled performance over five trainings. The figure was generated in  R 20 .
Figure 4.  Illustration of the precision recall curves for AlexNet, DenseNet and Inception v4 models
Figure 5.  Illustration of the precision recall curves for models with ResNet architectures
Figure 6.  Illustration of the precision recall curves for models with Squeezenet and VGG architectures
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