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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
We developed a novel dual-energy (DE) virtual monochromatic (VM) very-deep super-resolution (VDSR) method with an unsharp masking reconstruction algorithm (DE–VM–VDSR) that uses projection data to improve the nodule contrast and reduce ripple artifacts during chest digital tomosynthesis (DT). For es...
שמור ב:
| הוצא לאור ב: | PLoS One |
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| Main Authors: | , , , |
| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
Public Library of Science
2020
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| נושאים: | |
| גישה מקוונת: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7774945/ https://ncbi.nlm.nih.gov/pubmed/33382766 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0244745 |
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