Deep learning approach for automatic landmark detection and alignment analysis in whole-spine lateral radiographs

Human spinal balance assessment relies considerably on sagittal radiographic parameter measurement. Deep learning could be applied for automatic landmark detection and alignment analysis, with mild to moderate standard errors and favourable correlations with manual measurement. In this study, based...

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Detalles Bibliográficos
Autores principales: Yeh, Yu-Cheng, Weng, Chi-Hung, Huang, Yu-Jui, Fu, Chen-Ju, Tsai, Tsung-Ting, Yeh, Chao-Yuan
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/PMC8027006/
https://www.ncbi.nlm.nih.gov/pubmed/33828159
http://dx.doi.org/10.1038/s41598-021-87141-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8027006/
https://www.ncbi.nlm.nih.gov/pubmed/33828159
http://dx.doi.org/10.1038/s41598-021-87141-x

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