Fig. 2From: Convolutional neural networks for automatic image quality control and EARL compliance of PET imagesWorkflow of the CNN used in this study: The convolutional block consists of a convolutional layer followed by a LeakyReLU layer with alpha set to 0.2. The convolutional layer consists of 8 filters. The dropout percentage is set to 0.6. The first dense layer consists of 8, the second one of 2 unitsBack to article page