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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...
| Autores principales: | , , , , , , , , |
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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/PMC8260406/ https://www.ncbi.nlm.nih.gov/pubmed/34013464 http://dx.doi.org/10.1007/s11548-021-02388-z |