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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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Vydáno v:J Digit Imaging
Hlavní autoři: Umehara, Kensuke, Ota, Junko, Ishida, Takayuki
Médium: Artigo
Jazyk:Inglês
Vydáno: Springer International Publishing 2017
Témata:
On-line přístup: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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