Cargando…
Can surgical simulation be used to train detection and classification of neural networks?
Computer-assisted interventions (CAI) aim to increase the effectiveness, precision and repeatability of procedures to improve surgical outcomes. The presence and motion of surgical tools is a key information input for CAI surgical phase recognition algorithms. Vision-based tool detection and recogni...
Autores principales: | Zisimopoulos, Odysseas, Flouty, Evangello, Stacey, Mark, Muscroft, Sam, Giataganas, Petros, Nehme, Jean, Chow, Andre, Stoyanov, Danail |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Institution of Engineering and Technology
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5683210/ https://www.ncbi.nlm.nih.gov/pubmed/29184668 http://dx.doi.org/10.1049/htl.2017.0064 |
Ejemplares similares
-
Design and evaluation of an augmented reality simulator using leap motion
por: Wright, Trinette, et al.
Publicado: (2017) -
Intra-operative ultrasound-based augmented reality guidance for laparoscopic surgery
por: Singla, Rohit, et al.
Publicado: (2017) -
Real-time geometry-aware augmented reality in minimally invasive surgery
por: Chen, Long, et al.
Publicado: (2017) -
Towards X-ray free endovascular interventions – using HoloLens for on-line holographic visualisation
por: Kuhlemann, Ivo, et al.
Publicado: (2017) -
Multi-modal imaging, model-based tracking, and mixed reality visualisation for orthopaedic surgery
por: Lee, Sing Chun, et al.
Publicado: (2017)