Fully automated image-based estimation of postural point-features in children with cerebral palsy using deep learning

The aim of this study was to provide automated identification of postural point-features required to estimate the location and orientation of the head, multi-segmented trunk and arms from videos of the clinical test ‘Segmental Assessment of Trunk Control’ (SATCo). Three expert operators manually ann...

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Detalles Bibliográficos
Autores principales: Cunningham, Ryan, Sánchez, María B., Butler, Penelope B., Southgate, Matthew J., Loram, Ian D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2019
Materias:
Computer Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6894590/
https://www.ncbi.nlm.nih.gov/pubmed/31827842
http://dx.doi.org/10.1098/rsos.191011

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6894590/
https://www.ncbi.nlm.nih.gov/pubmed/31827842
http://dx.doi.org/10.1098/rsos.191011

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