Deep learning-based vessel and nerve recognition model for lateral lymph node dissection: a retrospective feasibility study
The deep learning-based semantic segmentation model automatically recognized the obturator nerve, external iliac artery, and external iliac vein during laparoscopic lateral lymph node dissection, achieving reasonable segmentation accuracy as measured by the Dice coefficient. This technology will be used as a foundation for developing surgical navigation systems to improve the safety and efficiency of lateral lymph node dissection procedures.
Authors
- Nobuyoshi Takeshita (ORCID: https://orcid.org/0000-0001-8089-7433)
- Shoma Sasaki
- Hiro Hasegawa (ORCID: https://orcid.org/0000-0002-2143-6503)
- Tomohiro Noda
- Daichi Kitaguchi (ORCID: https://orcid.org/0000-0002-8197-6317)
- Hiroki Matsuzaki
- Masaaki Ito (ORCID: https://orcid.org/0000-0002-1661-9647)
Institutions
- National Cancer Center Hospital East (JP)
Publication Details
- Journal
- Langenbeck s Archives of Surgery
- Published
- 2025-10-27
- DOI
- https://doi.org/10.1007/s00423-025-03882-7
- Citations
- 2
- Primary Topic
- Medical Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 1.35
Funders
- Japan Agency for Medical Research and Development