Deep learning-based fully automated detection and segmentation of pelvic lymph nodes on diffusion-weighted images for prostate cancer: a multicenter study
This 3D V-Net model can segment LNs effectively based on pelvic DWI images for PCa and holds great potential for facilitating N-staging in clinical practice.
Authors
- Ge Gao (ORCID: https://orcid.org/0000-0002-4316-4393)
- Pengsheng Wu
- Huihui Wang (ORCID: https://orcid.org/0000-0001-7908-8030)
- Xiaodong Zhang (ORCID: https://orcid.org/0000-0001-9866-5817)
- Tongtong Zhao (ORCID: https://orcid.org/0000-0001-8079-8048)
- Xiaoying Wang (ORCID: https://orcid.org/0000-0001-8616-0782)
Institutions
- Peking University (CN)
- Peking University First Hospital (CN)
Publication Details
- Journal
- Cancer Imaging
- Published
- 2025-03-17
- DOI
- https://doi.org/10.1186/s40644-025-00840-w
- Citations
- 4
- Primary Topic
- Prostate Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 6.07
Funders
- Capital Health Research and Development of Special Fund