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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...
Autores principales: | Galbusera, Fabio, Bassani, Tito, Panico, Matteo, Sconfienza, Luca Maria, Cina, Andrea |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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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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