Anatomical recognition of dissection layers, nerves, vas deferens, and microvessels using artificial intelligence during transabdominal preperitoneal inguinal hernia repair
The mean IoU and F1/Dice scores were 0.33 and 0.50 for connective tissue, 0.24 and 0.38 for nerves, 0.50 and 0.66 for the vas deferens, and 0.30 and 0.45 for microvessels, respectively. Compared with the images without EUREKA visualization, dissection layers were very clearly recognized and displayed when appropriate tension was applied.
Authors
- Kazuhito Mita (ORCID: https://orcid.org/0000-0002-1516-8442)
- Michitaka Kouno
- Minoru Hatano
- Nao Kobayashi (ORCID: https://orcid.org/0009-0003-5533-2918)
- Mayu Shimaguchi
- Junichi Sasaki (ORCID: https://orcid.org/0000-0002-5190-8524)
- Kunihiko Takahashi (ORCID: https://orcid.org/0000-0003-2387-7772)
- Takashi Sakai
- Naoyuki Toyota
- Tsuyoshi Toyota
Institutions
- Yahoo (Spain) (ES)
- Hakodate Central General Hospital (JP)
Publication Details
- Journal
- Hernia
- Published
- 2024-12-26
- DOI
- https://doi.org/10.1007/s10029-024-03223-5
- Citations
- 5
- Primary Topic
- Pelvic and Acetabular Injuries
- Type
- article
- Field-Weighted Citation Impact
- 2.86