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...

Descrizione completa

Dettagli Bibliografici

Autori principali:	Sung Eun Kim, Jun Woo Nam, Joong Il Kim, Jong-Keun Kim, Du Hyun Ro
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	BMC 2024-01-01
Serie:	Knee Surgery & Related Research
Soggetti:	Deep learning Full-leg radiographs Alignment measurement Imaging protocol Accuracy
Accesso online:	https://doi.org/10.1186/s43019-023-00209-y
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!