An artificial intelligence‐based recognition model of colorectal liver metastases in intraoperative ultrasonography with improved accuracy through algorithm integration
A novel automated recognition model was developed for accurate CLM detection in CE-IOUS by integrating image- and algorithm-based models.
Authors
- Takeshi Takamoto
- Kenji Karako
- Nobuhisa Akamatsu (ORCID: https://orcid.org/0000-0003-1603-5147)
- Shu Sasaki
- Morimasa Takayama (ORCID: https://orcid.org/0000-0001-5736-0064)
- Yuichiro Mihara (ORCID: https://orcid.org/0000-0001-5976-6041)
- Kiyoshi Hasegawa (ORCID: https://orcid.org/0000-0001-8734-740X)
- Yoshikuni Kawaguchi (ORCID: https://orcid.org/0000-0003-2986-3224)
- Akihiko Ichida (ORCID: https://orcid.org/0000-0001-8659-8514)
- Kyoji Ito (ORCID: https://orcid.org/0000-0003-3913-1051)
Institutions
- V.I.Shumakov Federal Research Center of Transplantology and Artificial Organs (RU)
- The University of Tokyo (JP)
Publication Details
- Journal
- Journal of Hepato-Biliary-Pancreatic Sciences
- Published
- 2024-11-15
- DOI
- https://doi.org/10.1002/jhbp.12089
- Citations
- 3
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.21
Funders
- Japan Surgical Society
- Japan Society for the Promotion of Science