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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Detalhes bibliográficos

Principais autores:	Sung Eun Kim, Jun Woo Nam, Joong Il Kim, Jong-Keun Kim, Du Hyun Ro
Formato:	Artigo
Idioma:	Inglês
Publicado em:	BMC 2024-01-01
coleção:	Knee Surgery & Related Research
Assuntos:	Deep learning Full-leg radiographs Alignment measurement Imaging protocol Accuracy
Acesso em linha:	https://doi.org/10.1186/s43019-023-00209-y
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