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Application of Super-Resolution Convolutional Neural Network for Enhancing Image Resolution in Chest CT
In this study, the super-resolution convolutional neural network (SRCNN) scheme, which is the emerging deep-learning-based super-resolution method for enhancing image resolution in chest CT images, was applied and evaluated using the post-processing approach. For evaluation, 89 chest CT cases were s...
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| Pubblicato in: | J Digit Imaging |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Springer International Publishing
2017
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6113156/ https://ncbi.nlm.nih.gov/pubmed/29047035 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10278-017-0033-z |
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