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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Bibliographic Details
Main Authors: Yunhe Li, Lunqiang Chen, Bo Li, Huiyan Zhao
Format: Article
Language:English
Published: Wiley 2023-06-01
Series:IET Image Processing
Subjects:
Online Access:https://doi.org/10.1049/ipr2.12797