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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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| Publicado no: | Radiol Artif Intell |
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| Main Authors: | , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Radiological Society of North America
2020
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| 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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