Development and Validation of Survival Prediction Models for Patients With Pineoblastomas Using Deep Learning: A <scp>SEER</scp>‐Based Study
Our DNN models showed a more accurate prediction of survival outcomes in patients with pineoblastoma than the widely used CPH models. These results indicate the potential of DL algorithms to improve outcome prediction in patients with rare tumors.
Authors
- Shunli Peng
- Xuanzi Li
- Yingpeng Peng
- Shuyuan Zhang (ORCID: https://orcid.org/0000-0002-9297-4333)
- Siyang Wang (ORCID: https://orcid.org/0009-0004-8733-3103)
- Dasong Zha
- Shuai Yang
- Chuntao Deng (ORCID: https://orcid.org/0009-0002-0049-8497)
- Xueqiang You
Institutions
- Sun Yat-sen University (CN)
- Fifth Affiliated Hospital of Sun Yat-sen University (CN)
- Macao Polytechnic University (MO)
Publication Details
- Journal
- Cancer Reports
- Published
- 2025-08-01
- DOI
- https://doi.org/10.1002/cnr2.70303
- Citations
- 1
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 2.48
Funders
- Basic and Applied Basic Research Foundation of Guangdong Province