Cargando…
Real-time surgical instrument detection in robot-assisted surgery using a convolutional neural network cascade
Surgical instrument detection in robot-assisted surgery videos is an import vision component for these systems. Most of the current deep learning methods focus on single-tool detection and suffer from low detection speed. To address this, the authors propose a novel frame-by-frame detection method u...
Autores principales: | Zhao, Zijian, Cai, Tongbiao, Chang, Faliang, Cheng, Xiaolin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Institution of Engineering and Technology
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6952255/ https://www.ncbi.nlm.nih.gov/pubmed/32038871 http://dx.doi.org/10.1049/htl.2019.0064 |
Ejemplares similares
-
Real-time surgical instrument tracking in robot-assisted surgery using multi-domain convolutional neural network
por: Qiu, Liang, et al.
Publicado: (2019) -
Upper gastrointestinal anatomy detection with multi-task convolutional neural networks
por: Xu, Zhang, et al.
Publicado: (2019) -
Learning the representation of instrument images in laparoscopy videos
por: Kletz, Sabrina, et al.
Publicado: (2019) -
Towards AR-assisted visualisation and guidance for imaging of dental decay
por: Zhou, Yaxuan, et al.
Publicado: (2019) -
Guest Editorial: Papers from the 13th Workshop on Augmented Environments for Computer Assisted Interventions
Publicado: (2019)