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Improved digital chest tomosynthesis image quality by use of a projection-based dual-energy virtual monochromatic convolutional neural network with super resolution

Fig 11

The largest variations extracted from 23 pixel-value profiles are plotted.

The relatively large variations in pixel values were attributed to high-frequency ripple artifacts.

Fig 11

doi: https://doi.org/10.1371/journal.pone.0244745.g011