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A fresh look at spinal alignment and deformities: Automated analysis of a large database of 9832 biplanar radiographs

We developed and used a deep learning tool to process biplanar radiographs of 9,832 non-surgical patients suffering from spinal deformities, with the aim of reporting the statistical distribution of radiological parameters describing the spinal shape and the correlations and interdependencies betwee...

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Detalles Bibliográficos
Autores principales: Galbusera, Fabio, Bassani, Tito, Panico, Matteo, Sconfienza, Luca Maria, Cina, Andrea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9335010/
https://www.ncbi.nlm.nih.gov/pubmed/35910028
http://dx.doi.org/10.3389/fbioe.2022.863054

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