Dual‐stage semantic segmentation of endoscopic surgical instruments
Experimental results on the dataset demonstrate that the dual-stage video processing method excels in performing instrument segmentation tasks under endoscopic conditions. This advancement is significant for enhancing the intelligence level of robotic-assisted spinal endoscopic surgeries.
Authors
- Dongsheng Xie (ORCID: https://orcid.org/0000-0002-7209-5753)
- Xingguang Duan (ORCID: https://orcid.org/0000-0002-9640-4928)
- Mobarakol Islam (ORCID: https://orcid.org/0000-0002-7162-2822)
- Changsheng Li (ORCID: https://orcid.org/0000-0003-2469-4222)
- Xue Li (ORCID: https://orcid.org/0000-0002-4515-6792)
- Kaifeng Wang (ORCID: https://orcid.org/0000-0002-8083-2258)
- Wenxin Chen (ORCID: https://orcid.org/0000-0002-3641-9378)
- Xinya Song (ORCID: https://orcid.org/0000-0002-9841-2139)
Institutions
- Beijing Institute of Technology (CN)
- Peking University (CN)
- Peking University People's Hospital (CN)
- University College London (GB)
Publication Details
- Journal
- Medical Physics
- Published
- 2024-09-10
- DOI
- https://doi.org/10.1002/mp.17397
- Citations
- 7
- Primary Topic
- Surgical Simulation and Training
- Type
- article
- Field-Weighted Citation Impact
- 4.01
Funders
- National Key Research and Development Program of China