EasyVis2: a real-time multi-view 3D visualization system for laparoscopic surgery training enhanced by a deep neural network YOLOv8-pose
- DOI
- 10.1007/s13304-026-02687-7
- Published
- 2026-05-26
- Container
- Updates in Surgery
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s13304-026-02687-7,
title = {EasyVis2: a real-time multi-view 3D visualization system for laparoscopic surgery training enhanced by a deep neural network YOLOv8-pose},
author = {Yung-Hong Sun and Gefei Shen and Jayer Fernandes and Jiangang Chen and Amber Shada and Charles Heise and Hongrui Jiang and Yu Hen Hu},
year = {2026},
journal = {Updates in Surgery},
doi = {10.1007/s13304-026-02687-7},
url = {https://doi.org/10.1007/s13304-026-02687-7}
}RIS
TY - JOUR TI - EasyVis2: a real-time multi-view 3D visualization system for laparoscopic surgery training enhanced by a deep neural network YOLOv8-pose AU - Yung-Hong Sun AU - Gefei Shen AU - Jayer Fernandes AU - Jiangang Chen AU - Amber Shada AU - Charles Heise AU - Hongrui Jiang AU - Yu Hen Hu PY - 2026 JO - Updates in Surgery DO - 10.1007/s13304-026-02687-7 UR - https://doi.org/10.1007/s13304-026-02687-7 ER -
APA
Sun, Y., Shen, G., Fernandes, J., Chen, J., Shada, A., Heise, C., Jiang, H., & Hu, Y. H. (2026). EasyVis2: a real-time multi-view 3D visualization system for laparoscopic surgery training enhanced by a deep neural network YOLOv8-pose. Updates in Surgery. https://doi.org/10.1007/s13304-026-02687-7
Source records
- crossref · retrieved 2026-09-26T10:35:36.580Z