Artificial intelligence-assisted platform performs high detection ability of hepatocellular carcinoma in CT images: an external clinical validation study
This study validates the effectiveness of the artificial intelligence-assisted platform in detecting HCC lesions and analyzing lesion size and location. It can serve as an auxiliary tool to help radiologists identify, locate, and assess lesions.
Authors
- Qianrui Fan (ORCID: https://orcid.org/0000-0003-3446-7242)
- D. Wang (ORCID: https://orcid.org/0000-0002-9013-1199)
- Chenhao Pei (ORCID: https://orcid.org/0000-0003-1742-286X)
- Shifeng Yang
- Ximing Wang (ORCID: https://orcid.org/0000-0002-1213-1003)
- Junchuan Liu
- Rongxue Shan
Institutions
- Qingdao University (CN)
- InferVision (China) (CN)
- Shandong Provincial Hospital (CN)
- Affiliated Hospital of Qingdao University (CN)
- Shandong First Medical University (CN)
Publication Details
- Journal
- BMC Cancer
- Published
- 2025-01-27
- DOI
- https://doi.org/10.1186/s12885-025-13529-x
- Citations
- 8
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 10.88
Funders
- National Natural Science Foundation of China
- Shandong First Medical University