Source record
Recognizing surgical phases in laparoscopic video
El texto se muestra en inglés hasta que exista una traducción.
The source is Twinanda and colleagues, arXiv:1602.03012, posted 9 February 2016. It introduces EndoNet, a research network for phase and instrument recognition on laparoscopic cholecystectomy video, demonstrated on the public Cholec80 collection. The paper is about whether a model can tell where a case is in its sequence. This index does not restate the research metrics as clinical outcomes and does not treat the work as a cleared intraoperative product.
- Source date
- 9 feb 2016 · Año 2016
- Evidence label
- Publicado
- Source type
- Artículo
Citation
Twinanda et al., arXiv:1602.03012
Twinanda et al. EndoNet: a deep architecture for recognition tasks on laparoscopic videos. arXiv:1602.03012, 9 February 2016. https://arxiv.org/abs/1602.03012
Key public facts
- EndoNet is a research network for phase and tool recognition in laparoscopic cholecystectomy video.
- The demonstration collection is the public Cholec80 set.
- The linked source is the arXiv preprint dated 9 February 2016.
- The paper reports recognition performance. Those figures are not restated here as clinical outcomes.
- The entry is not a live operating-room advisory and not a cleared device.
Ficha para educación y lectura de mercado. No es consejo médico ni un aval.