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...

Descripción completa

Detalles Bibliográficos
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: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10501977/
https://www.ncbi.nlm.nih.gov/pubmed/37268840
http://dx.doi.org/10.1007/s10278-023-00853-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10501977/
https://www.ncbi.nlm.nih.gov/pubmed/37268840
http://dx.doi.org/10.1007/s10278-023-00853-6

Ejemplares similares