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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Detalles Bibliográficos

Publicado en:	Journal of Digital Imaging Vol. 36; no. 5; pp. 2278 - 2290
Autores principales:	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
Formato:	diagnostic images research tables/charts Journal Article
Publicado:	Springer Nature Oct2023
Acceso en línea:	Ver este registro en EBSCOhost