Enhanced deep learning model enables accurate alignment measurement across diverse institutional imaging protocols

Enhanced deep learning model enables accurate alignment measurement across diverse institutional imaging protocols

Abstract Background Achieving consistent accuracy in radiographic measurements across different equipment and protocols is challenging. This study evaluates an advanced deep learning (DL) model, building upon a precursor, for its proficiency in generating uniform and precise alignment measurements i...

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Bibliografiske detaljer
Main Authors: Sung Eun Kim, Jun Woo Nam, Joong Il Kim, Jong-Keun Kim, Du Hyun Ro
Format: Article
Sprog:English
Udgivet: BMC 2024-01-01
Serier:Knee Surgery & Related Research
Fag:
Deep learning
Full-leg radiographs
Alignment measurement
Imaging protocol
Accuracy
Online adgang:https://doi.org/10.1186/s43019-023-00209-y

Internet

https://doi.org/10.1186/s43019-023-00209-y

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