Full-convolution Siamese network algorithm under deep learning used in tracking of facial video image in newborns

This study was carried out with the aim of exploring the full-convolution Siamese network (SiamFC) in the application of neonatal facial video image tracking, achieving accurate recognition of neonatal pain and helping doctors evaluate neonatal emotions in an automatic manner. The current technology...

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Detalles Bibliográficos
Autores principales: Wang, Yun, Huang, Lu, Yee, Austin Lin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8972989/
https://www.ncbi.nlm.nih.gov/pubmed/35382385
http://dx.doi.org/10.1007/s11227-022-04439-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8972989/
https://www.ncbi.nlm.nih.gov/pubmed/35382385
http://dx.doi.org/10.1007/s11227-022-04439-x

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