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Dataset Information

Research into super-resolution in medical imaging from 2000 to 2023: bibliometric analysis and visualization.


ABSTRACT:

Background

Super-resolution (SR) refers to the use of hardware or software methods to enhance the resolution of low-resolution (LR) images and produce high-resolution (HR) images. SR is applied frequently across a variety of medical imaging contexts, particularly in the enhancement of neuroimaging, with specific techniques including SR microscopy-used for diagnostic biomarkers-and functional magnetic resonance imaging (fMRI)-a neuroimaging method for the measurement and mapping of brain activity. This bibliometric analysis of the literature related to SR in medical imaging was conducted to identify the global trends in this field, and visualization via graphs was completed to offer insights into future research prospects.

Methods

In order to perform a bibliometric analysis o

SUBMITTER: He J 

PROVIDER: S-EPMC11250356 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature