Artificial intelligence software to detect small hepatic lesions on hepatobiliary-phase images using multiscale sampling
The detectability of small hepatic lesions on HBP images was improved with msAI software especially when its results were properly evaluated.
Authors
- Toru Higaki (ORCID: https://orcid.org/0000-0003-0631-7271)
- Shota Kondo
- Dara Fonseca
- Takayuki Baba (ORCID: https://orcid.org/0000-0002-8178-8391)
- Yuko Nakamura (ORCID: https://orcid.org/0000-0003-3128-4731)
- Tatsuya Yamaguchi (ORCID: https://orcid.org/0000-0002-4870-0140)
- Ayu Karasudani
- Masaki Ishihara
- Kazuo Awai (ORCID: https://orcid.org/0000-0002-5039-2546)
- Shogo Maeda (ORCID: https://orcid.org/0009-0002-8637-7169)
Institutions
- Hiroshima University (JP)
- Fujitsu (Japan) (JP)
- Hiroshima Prefectural Hospital (JP)
- Hiroshima University Hospital (JP)
Publication Details
- Journal
- Japanese Journal of Radiology
- Published
- 2025-08-29
- DOI
- https://doi.org/10.1007/s11604-025-01859-6
- Primary Topic
- Pancreatic and Hepatic Oncology Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Fujitsu
- Hiroshima University