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Arbitrary Scale Super-Resolution for Brain MRI Images

Recent attempts at Super-Resolution for medical images used deep learning techniques such as Generative Adversarial Networks (GANs) to achieve perceptually realistic single image Super-Resolution. Yet, they are constrained by their inability to generalise to different scale factors. This involves hi...

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Vydáno v:Artificial Intelligence Applications and Innovations
Hlavní autoři: Tan, Chuan, Zhu, Jin, Lio’, Pietro
Médium: Artigo
Jazyk:Inglês
Vydáno: 2020
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC7256400/
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-49161-1_15
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