Explainable attention-enhanced heuristic paradigm for multi-view prognostic risk score development in hepatocellular carcinoma
This novel paradigm, from identifying high-risk tissues to constructing prognostic risk scores, offers fresh insights into HCC research. Additionally, the integration of HDS complements the existing clinical staging system by facilitating more detailed stratification in DFS and Overall Survival (OS).
Authors
- Yihong Ling (ORCID: https://orcid.org/0000-0002-6433-3213)
- Jing Yan Cai (ORCID: https://orcid.org/0000-0001-6934-0108)
- Lige Tong (ORCID: https://orcid.org/0000-0001-6415-0372)
- Danyang Zheng (ORCID: https://orcid.org/0000-0002-3031-7856)
- Anran Liu (ORCID: https://orcid.org/0000-0003-0213-2923)
- Yuanpeng Zhang (ORCID: https://orcid.org/0000-0001-7706-2865)
- Lianghe Lu (ORCID: https://orcid.org/0000-0002-2860-6093)
- Jiang Zhang
Institutions
- Hong Kong Polytechnic University (HK)
- Sun Yat-sen University (CN)
- Washington University in St. Louis (US)
- Université Bourgogne Franche-Comté (FR)
- The First Affiliated Hospital, Sun Yat-sen University (CN)
- Sun Yat-sen University Cancer Center (CN)
Publication Details
- Journal
- Hepatology International
- Published
- 2025-03-16
- DOI
- https://doi.org/10.1007/s12072-025-10793-8
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Hong Kong Polytechnic University