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...

Descripción completa

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:
Bioengineering and Biotechnology
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

Internet

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

Ejemplares similares