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Automated Analysis of Alignment in Long-Leg Radiographs by Using a Fully Automated Support System Based on Artificial Intelligence

PURPOSE: To develop and validate a deep learning–based method for automatic quantitative analysis of lower-extremity alignment. MATERIALS AND METHODS: In this retrospective study, bilateral long-leg radiographs (LLRs) from 255 patients that were obtained between January and September of 2018 were in...

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Detalhes bibliográficos
Publicado no:Radiol Artif Intell
Main Authors: Schock, Justus, Truhn, Daniel, Abrar, Daniel B., Merhof, Dorit, Conrad, Stefan, Post, Manuel, Mittelstrass, Felix, Kuhl, Christiane, Nebelung, Sven
Formato: Artigo
Idioma:Inglês
Publicado em: Radiological Society of North America 2020
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8043357/
https://ncbi.nlm.nih.gov/pubmed/33937861
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1148/ryai.2020200198
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