Gauze detection and segmentation in laparoscopic liver surgery: a multi-center study
The findings highlight the strong capability of the proposed framework to detect and segment gauze across varying levels of background complexity in laparoscopic liver surgery videos. This approach has the potential to significantly improve gauze management during surgery.
Authors
- Tingfang Wu (ORCID: https://orcid.org/0000-0001-8137-2436)
- Xiang Ao (ORCID: https://orcid.org/0000-0001-9633-8361)
- Song Su (ORCID: https://orcid.org/0000-0001-9119-4995)
- Y.S. Gan (ORCID: https://orcid.org/0000-0002-3498-8489)
- Yong Tang (ORCID: https://orcid.org/0000-0001-9478-5205)
- Junfeng Wang (ORCID: https://orcid.org/0000-0001-8658-2184)
- Zheng Liu (ORCID: https://orcid.org/0000-0001-8445-1228)
- Haoxin Li (ORCID: https://orcid.org/0000-0001-7671-5609)
- Z. B. Cheng (ORCID: https://orcid.org/0009-0008-4927-9010)
- Jiali Wu
- Yanlin Leng
- L.-N. Zhou
- Haomin Lin
- Jiayi Fan QiaoLi
Institutions
- University of Electronic Science and Technology of China (CN)
- Chongqing University (CN)
- Sichuan University (CN)
- Chengdu University of Information Technology (CN)
- Chengdu University of Technology (CN)
- Affiliated Hospital of Southwest Medical University (CN)
- Chongqing Institute of Green and Intelligent Technology (CN)
- Chengdu Second People's Hospital (CN)
Publication Details
- Journal
- European journal of medical research
- Published
- 2025-09-29
- DOI
- https://doi.org/10.1186/s40001-025-03190-2
- Primary Topic
- Medical Image Segmentation Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Ministry of Science and Technology of the People's Republic of China