Udnn_Synthetic_Datasets
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These are the synthetic datasets that have been used for training and testing UDNN. They were produced using TomoPhantom (https://doi.org/10.5281/zenodo.1232424). They have been normalized and tranformed using using the following operation f(x)=exp(-x/max(x)). The maximum before normalization was 173.131 . To add the Poisson noise the following command was executed, y=numpy.random.poisson(x*25000)/25000.
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Zenodo创建时间：
2018-06-25
