Development and validation of an ultrasound-based interpretable machine learning model for the classification of ≤3 cm hepatocellular carcinoma: a multicentre retrospective diagnostic study
This work was supported by National Key Research and Development Program of China (2022YFC2405500), Major Research Program of the National Natural Science Foundation of China (92159305), National Science Fund for Distinguished Young Scholars (82325027), Key project of National Natural Science Foundation of China (82030047), Military Fund for Geriatric Diseases (20BJZ42), National Natural Science Foundation of China Special Program (82441011). National Natural Science Foundation of China (82402280), National Natural Science Foundation of China (32171363), Key Research and Development Program for Social Development of Yunnan Science and Technology Department (202403AC100014).
Authors
- Zhicheng Du (ORCID: https://orcid.org/0000-0002-1155-8443)
- Xuexue Chen (ORCID: https://orcid.org/0009-0003-0941-4939)
- Jun Ma (ORCID: https://orcid.org/0000-0002-7229-9756)
- Yangfang Dong
- Jiapeng Wu (ORCID: https://orcid.org/0000-0002-0303-9686)
- Fangying Fan
- Wenzhen Ding
- Guo‐Jun Zhang (ORCID: https://orcid.org/0000-0001-5182-5887)
- Yuling Wang (ORCID: https://orcid.org/0000-0002-2079-3568)
- Yan Xing (ORCID: https://orcid.org/0000-0003-2150-1448)
- Jie Yu (ORCID: https://orcid.org/0000-0002-6370-7834)
- Qinxian Zhao
- Ping Liang (ORCID: https://orcid.org/0000-0002-7640-2351)
- Jing Liu (ORCID: https://orcid.org/0000-0002-3255-3019)
Institutions
- Xiamen University (CN)
- Nankai University (CN)
- Kunming Medical University (CN)
- Chinese PLA General Hospital (CN)
- The People's Hospital of Guangxi Zhuang Autonomous Region (CN)
- Fuzhou General Hospital of Nanjing Military Command (CN)
Publication Details
- Journal
- EClinicalMedicine
- Published
- 2025-02-13
- DOI
- https://doi.org/10.1016/j.eclinm.2025.103098
- Citations
- 15
- Primary Topic
- Hepatocellular Carcinoma Treatment and Prognosis
- Type
- article
- Field-Weighted Citation Impact
- 19.83
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China
- National Science Fund for Distinguished Young Scholars