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The architecture of 2D mapping functions that translate CCTA and non-contrast CT images. The network is designed to output the weighted average of single convolutions of 3 × 3 (“Single convolutional part”) by pixel-wise classification results by the U-net (“Classification part”). The pixel-wise classification results are softmax-activated so that all classification scores add up to 1. Conv convolution, ReL U rectified linear unit
