Significance of multi-task deep learning neural networks for diagnosing clinically significant prostate cancer in plain abdominal CT
Our study demonstrated that the MTDL nomogram can accurately predict the presence of prostate cancer using abdominal CT scans, offering significant value for the early diagnosis of prostate cancer.
Authors
- Xiaofen Ma (ORCID: https://orcid.org/0000-0002-3178-232X)
- Jing Wen Li (ORCID: https://orcid.org/0000-0002-6463-7030)
- Xinlei Zhang (ORCID: https://orcid.org/0009-0008-6836-2928)
- Ming Zhang (ORCID: https://orcid.org/0000-0001-6967-1732)
- Yujun Geng
- Meng Yang (ORCID: https://orcid.org/0009-0004-0905-693X)
- Junzhang Tian (ORCID: https://orcid.org/0000-0002-6212-1882)
Institutions
- Jinan University (CN)
- Second Affiliated Hospital of Guangzhou Medical University (CN)
- Guangdong Provincial People's Hospital (CN)
- Guangzhou Medical University (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2025-05-02
- DOI
- https://doi.org/10.3389/fonc.2025.1543230
- Primary Topic
- Prostate Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00