2-step deep learning model for landmarks localization in spine radiographs

In this work we propose to use Deep Learning to automatically calculate the coordinates of the vertebral corners in sagittal x-rays images of the thoracolumbar spine and, from those landmarks, to calculate relevant radiological parameters such as L1–L5 and L1–S1 lordosis and sacral slope. For this p...

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Detalles Bibliográficos
Autores principales: Cina, Andrea, Bassani, Tito, Panico, Matteo, Luca, Andrea, Masharawi, Youssef, Brayda-Bruno, Marco, Galbusera, Fabio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8096829/
https://www.ncbi.nlm.nih.gov/pubmed/33947917
http://dx.doi.org/10.1038/s41598-021-89102-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8096829/
https://www.ncbi.nlm.nih.gov/pubmed/33947917
http://dx.doi.org/10.1038/s41598-021-89102-w

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