AI-based detection of MRI-invisible prostate cancer with nnU-Net
We successfully developed an AI-based image recognition system utilizing the nnU-Net adaptive neural network, demonstrating promising diagnostic performance in detecting MRI-invisible prostate cancer. This system has the potential to enhance early detection and management of prostate cancer.
Authors
- Xuanhao Li (ORCID: https://orcid.org/0000-0001-5886-6139)
- Ruiyu Yue
- Jian Song (ORCID: https://orcid.org/0000-0002-2608-2468)
- Boyu Yang (ORCID: https://orcid.org/0000-0003-0302-836X)
- Jingcheng Lyu
Institutions
- Capital Medical University (CN)
- Beijing Municipal Education Commission (CN)
- Beijing Friendship Hospital (CN)
Publication Details
- Journal
- Canadian Journal of Urology
- Published
- 2025-01-01
- DOI
- https://doi.org/10.32604/cju.2025.068853
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00