Multi-task temporal convolutional networks for joint recognition of surgical phases and steps in gastric bypass procedures

PURPOSE: Automatic segmentation and classification of surgical activity is crucial for providing advanced support in computer-assisted interventions and autonomous functionalities in robot-assisted surgeries. Prior works have focused on recognizing either coarse activities, such as phases, or fine-g...

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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 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8260406/
https://www.ncbi.nlm.nih.gov/pubmed/34013464
http://dx.doi.org/10.1007/s11548-021-02388-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8260406/
https://www.ncbi.nlm.nih.gov/pubmed/34013464
http://dx.doi.org/10.1007/s11548-021-02388-z

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