Development of a deep learning system for predicting biochemical recurrence in prostate cancer
Deep learning system can use biopsy samples to predict the risk of BCR in PCa, thereby formulating targeted treatment strategies.
Authors
- Lingmei Li (ORCID: https://orcid.org/0000-0001-7048-7211)
- Peisen Zhang (ORCID: https://orcid.org/0000-0003-0569-0576)
- Ning Liu (ORCID: https://orcid.org/0000-0003-3594-2957)
- Ao Zhang (ORCID: https://orcid.org/0000-0003-0045-4777)
- Lu Cao (ORCID: https://orcid.org/0000-0002-2654-3113)
- Ruimin He
- Wenfeng Cao
Institutions
- Tianjin University of Science and Technology (CN)
- Tianjin Medical University Cancer Institute and Hospital (CN)
- Tianjin Anding Hospital (CN)
- Tianjin Hospital (CN)
Publication Details
- Journal
- BMC Cancer
- Published
- 2025-02-10
- DOI
- https://doi.org/10.1186/s12885-025-13628-9
- Citations
- 6
- Primary Topic
- AI in cancer detection
- Type
- article
- Field-Weighted Citation Impact
- 14.89
Funders
- National Natural Science Foundation of China