Annotation-free multi-organ anomaly detection in abdominal CT using free-text radiology reports: a multi-centre retrospective study
Authors
- Shoji Kido (ORCID: https://orcid.org/0000-0001-5293-4110)
- Daiki Nishigaki (ORCID: https://orcid.org/0000-0002-7006-3408)
- Tomohiro Wataya (ORCID: https://orcid.org/0000-0002-1224-6601)
- Toshihiro Takeda (ORCID: https://orcid.org/0000-0003-3073-7823)
- Yuki Suzuki (ORCID: https://orcid.org/0000-0002-1572-5771)
- Noriyuki Tomiyama (ORCID: https://orcid.org/0000-0001-9918-7327)
- Junya Sato (ORCID: https://orcid.org/0000-0002-1206-2036)
- Masatoshi Hori (ORCID: https://orcid.org/0000-0002-2523-3789)
- Kosuke Kita (ORCID: https://orcid.org/0000-0002-5825-3348)
- Kento Sugimoto (ORCID: https://orcid.org/0000-0002-6874-2399)
- Miyuki Tomiyama (ORCID: https://orcid.org/0009-0008-4019-8222)
- Yu Hiraoka
Institutions
- The University of Osaka (JP)
Publication Details
- Journal
- EBioMedicine
- Published
- 2024-11-28
- DOI
- https://doi.org/10.1016/j.ebiom.2024.105463
- Citations
- 8
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 3.23
Funders
- Japan Science and Technology Agency