A prior knowledge-supervised fusion network predicts survival after radiotherapy in patients with advanced gastric cancer
The experimental results have demonstrated that the proposed model can effectively predict OS after radiotherapy in patients with advanced gastric cancer, which demonstrate that the proposed model can facilitate the development and application of robust clinical treatment strategies.
Authors
- Pengfei Ji
- Liang Sun (ORCID: https://orcid.org/0000-0002-2721-1866)
- Y. Lan (ORCID: https://orcid.org/0000-0002-9351-9543)
- Xin Yuan (ORCID: https://orcid.org/0000-0003-3140-3243)
- Jian Sun (ORCID: https://orcid.org/0000-0002-6178-4166)
- Ming Cui
Institutions
- Dalian Medical University (CN)
- Dalian University of Technology (CN)
- Second Affiliated Hospital of Dalian Medical University (CN)
- Liaoning Cancer Hospital & Institute (CN)
Publication Details
- Journal
- Artificial Intelligence in Medicine
- Published
- 2025-06-19
- DOI
- https://doi.org/10.1016/j.artmed.2025.103184
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Fundamental Research Funds for the Central Universities
- Dalian Science and Technology Innovation Fund