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4× Super‐resolution of unsupervised CT images based on GAN

Abstract Improving the resolution of computed tomography (CT) medical images can help doctors more accurately identify lesions, which is important in clinical diagnosis. In the absence of natural paired datasets of high resolution and low resolution image pairs, we abandoned the conventional Bicubic...

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Principais autores: Yunhe Li, Lunqiang Chen, Bo Li, Huiyan Zhao
Format: Artigo
Jezik:Inglês
Izdano: Wiley 2023-06-01
Serija:IET Image Processing
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Online dostop:https://doi.org/10.1049/ipr2.12797
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