Cargando…
Real-Time Tool Detection for Workflow Identification in Open Cranial Vault Remodeling
Deep learning is a recent technology that has shown excellent capabilities for recognition and identification tasks. This study applies these techniques in open cranial vault remodeling surgeries performed to correct craniosynostosis. The objective was to automatically recognize surgical tools in re...
Autores principales: | Pose Díez de la Lastra, Alicia, García-Duarte Sáenz, Lucía, García-Mato, David, Hernández-Álvarez, Luis, Ochandiano, Santiago, Pascau, Javier |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8303376/ https://www.ncbi.nlm.nih.gov/pubmed/34206962 http://dx.doi.org/10.3390/e23070817 |
Ejemplares similares
-
Evolution of Perioperative Pathways in Cranial Vault Remodeling
por: Brown, Meghan, et al.
Publicado: (2021) -
Abstract: Is Ketorolac Safe in Cranial Vault Remodeling Surgery?
por: Tuncer, Fatma Betul, et al.
Publicado: (2018) -
Abstract: Striving for Transfusion-Free Open Cranial Vault Remodeling: A Novel Protocol
por: Kurlander, David E., et al.
Publicado: (2017) -
30. Durotomies in Cranial Vault Remodeling for Craniosynostosis: An Analysis of Outcomes
por: Youngwhan Cho, Daniel, et al.
Publicado: (2023) -
Real-time integration between Microsoft HoloLens 2 and 3D Slicer with demonstration in pedicle screw placement planning
por: Pose-Díez-de-la-Lastra, Alicia, et al.
Publicado: (2023)