Source record
Recognizing surgical phases in laparoscopic video
논문논문
이 언어의 본문은 아직 없어 영어로 보여 줍니다.
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
- 2016년 2월 9일 · 연도 2016
- Evidence label
- 논문
- Source type
- 논문
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.
교육과 시장 탐색용 항목. 의학 조언도 추천도 아닙니다.