Development and validation of deep learning algorithms for scoliosis screening using back images

Adolescent idiopathic scoliosis is the most common spinal disorder in adolescents with a prevalence of 0.5–5.2% worldwide. The traditional methods for scoliosis screening are easily accessible but require unnecessary referrals and radiography exposure due to their low positive predictive values. The...

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Detalles Bibliográficos
Autores principales: Yang, Junlin, Zhang, Kai, Fan, Hengwei, Huang, Zifang, Xiang, Yifan, Yang, Jingfan, He, Lin, Zhang, Lei, Yang, Yahan, Li, Ruiyang, Zhu, Yi, Chen, Chuan, Liu, Fan, Yang, Haoqing, Deng, Yaolong, Tan, Weiqing, Deng, Nali, Yu, Xuexiang, Xuan, Xiaoling, Xie, Xiaofeng, Liu, Xiyang, Lin, Haotian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6814825/
https://www.ncbi.nlm.nih.gov/pubmed/31667364
http://dx.doi.org/10.1038/s42003-019-0635-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6814825/
https://www.ncbi.nlm.nih.gov/pubmed/31667364
http://dx.doi.org/10.1038/s42003-019-0635-8

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