TRandAugment: temporal random augmentation strategy for surgical activity recognition from videos

PURPOSE: Automatic recognition of surgical activities from intraoperative surgical videos is crucial for developing intelligent support systems for computer-assisted interventions. Current state-of-the-art recognition methods are based on deep learning where data augmentation has shown the potential...

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Detalles Bibliográficos
Autores principales: Ramesh, Sanat, Dall’Alba, Diego, Gonzalez, Cristians, Yu, Tong, Mascagni, Pietro, Mutter, Didier, Marescaux, Jacques, Fiorini, Paolo, Padoy, Nicolas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10491694/
https://www.ncbi.nlm.nih.gov/pubmed/36944845
http://dx.doi.org/10.1007/s11548-023-02864-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10491694/
https://www.ncbi.nlm.nih.gov/pubmed/36944845
http://dx.doi.org/10.1007/s11548-023-02864-8

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