An AI-Based Image Quality Control Framework for Knee Radiographs.

Image quality control (QC) is crucial for the accurate diagnosis of knee diseases using radiographs. However, the manual QC process is subjective, labor intensive, and time-consuming. In this study, we aimed to develop an artificial intelligence (AI) model to automate the QC procedure typically perf...

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Bibliographic Details

Published in:	Journal of Digital Imaging Vol. 36; no. 5; pp. 2278 - 2290
Main Authors:	Sun, Hongbiao, Wang, Wenwen, He, Fujin, Wang, Duanrui, Liu, Xiaoqing, Xu, Shaochun, Zhao, Baolian, Li, Qingchu, Wang, Xiang, Jiang, Qinling, Zhang, Rong, Liu, Shiyuan, Xiao, Yi
Format:	diagnostic images research tables/charts Journal Article
Published:	Springer Nature Oct2023
Online Access:	View this record in EBSCOhost