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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 10

Plots of the SDNR versus each algorithm from the in-focus plane.

Comparisons of the signal-difference-to-noise ratio (SDNR) of in-focus plane images obtained via the dual-energy (DE) virtual monochromatic (VM) with the very-deep super-resolution (VDSR) reconstruction algorithm (DE–VM–VDSR) with and without BF and the conventional reconstruction algorithms.

Fig 10

doi: https://doi.org/10.1371/journal.pone.0244745.g010