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Self-supervised representation learning for surgical activity recognition
Purpose: Virtual reality-based simulators have the potential to become an essential part of surgical education. To make full use of this potential, they must be able to automatically recognize activities performed by users and assess those. Since annotations of trajectories by human experts are expe...
Autores principales: | Paysan, Daniel, Haug, Luis, Bajka, Michael, Oelhafen, Markus, Buhmann, Joachim M. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8589823/ https://www.ncbi.nlm.nih.gov/pubmed/34542839 http://dx.doi.org/10.1007/s11548-021-02493-z |
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