Fig. 7From: Deep learning tomographic reconstruction through hierarchical decomposition of domain transformsLoss function of the hierarchical network when trained end-to-end with pure noise. The validation loss is lower than the training loss because the validation dataset consists of clinical images, which contain more typical image features rather than random noise patternsBack to article page