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Fig. 2 | European Radiology Experimental

Fig. 2

From: Generation of synthetic ground glass nodules using generative adversarial networks (GANs)

Fig. 2

The structure of the network. The generator creates the synthetic ground glass nodule at the position where the mask in the input. The generator is composed of convolutional layers with a kernel size of 3 × 3, the batch normalisation, and the “parametric rectified linear unit” (PReLU) activation function. The discriminator was composed of convolutional layers with a kernel size of 3 × 3, the batch normalisation, and the leaky PReLU activation function

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