ArticleScientific data2025
Endoscapes, a critical view of safety and surgical scene segmentation dataset for laparoscopic cholecystectomy.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- AI-enhanced intraoperative decision-making in robotic surgery: from augmented reality navigation to foundation models.Journal of robotic surgery · 2026Review
- Artificial Intelligence for Automated Recognition of Hepatocystic Anatomy During Laparoscopic Cholecystectomy: Current Evidence, Clinical Readiness, and Future Directions.Medicina (Kaunas, Lithuania) · 2026Review
- TempoSafe-CVS: A Temporal Multi-scale Deep Learning Framework for Automated Assessment of the Critical View of Safety in Laparoscopic Cholecystectomy.Journal of imaging informatics in medicine · 2026Article
- CVS assessment via distillation-based self-supervised and multiple instance learning in laparoscopic cholecystectomy.International journal of computer assisted radiology and surgery · 2026Article
- Sum-of-Checks: structured reasoning for surgical safety with large vision-language models.International journal of computer assisted radiology and surgery · 2026Article
- An artificial intelligence-based navigation system for enhancing anatomical recognition and safety during laparoscopic cholecystectomy: a pilot study.International journal of surgery (London, England) · 2026Article
- Article
- The era of autonomous surgical robotics in thoracic surgery: is it coming?International journal of surgery (London, England) · 2026Article
- Surgical video-based temporal action analysis algorithm and competency assessment in laparoscopic cholecystectomy: development and exploratory evaluation.Surgical endoscopy · 2026Article
- Artificial intelligence for surgical scene understanding: a systematic review and reporting quality meta-analysis.NPJ digital medicine · 2025Article
- SwinCVS: a unified approach to classifying critical view of safety structures in laparoscopic cholecystectomy.International journal of computer assisted radiology and surgery · 2025Article
- Dynamic key vascular anatomy dataset for D2 lymph node dissection during laparoscopic gastric cancer surgery.Scientific data · 2025Article
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Authors and funding
11 authors.
Funding
Abstract
Minimally invasive image-guided surgery heavily relies on vision. Deep learning models for surgical video analysis can support surgeons in visual tasks such as assessing the critical view of safety (CVS) in laparoscopic cholecystectomy, potentially contributing to surgical safety and efficiency. However, the performance, reliability, and reproducibility of such models are deeply dependent on the availability of data with high-quality annotations. To this end, we release Endoscapes2023, a dataset comprising 201 laparoscopic cholecystectomy videos with regularly spaced frames annotated with segmentation masks of surgical instruments and hepatocystic anatomy, as well as assessments of the criteria defining the CVS by three trained surgeons following a public protocol. Endoscapes2023 enables the development of models for object detection, semantic and instance segmentation, and CVS prediction, contributing to safe laparoscopic cholecystectomy.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.