PhacoTrainer: A Multicenter Study of Deep Learning for Activity Recognition in Cataract Surgical Videos

PURPOSE: To build and evaluate deep learning models for recognizing cataract surgical steps from whole-length surgical videos with minimal preprocessing, including identification of routine and complex steps. METHODS: We collected 298 cataract surgical videos from 12 resident surgeons across 6 sites...

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Detalles Bibliográficos
Autores principales: Yeh, Hsu-Hang, Jain, Anjal M., Fox, Olivia, Wang, Sophia Y.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Association for Research in Vision and Ophthalmology 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8606857/
https://www.ncbi.nlm.nih.gov/pubmed/34784415
http://dx.doi.org/10.1167/tvst.10.13.23

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8606857/
https://www.ncbi.nlm.nih.gov/pubmed/34784415
http://dx.doi.org/10.1167/tvst.10.13.23

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