Deep learning-based prediction of tumor aggressiveness in RCC using multiparametric MRI: a pilot study
Deep learning using a CNN fusion model, integrating multiple b value images and clinical features, could effectively promote the preoperative prediction of tumor aggressiveness in RCC patients.
Authors
- Fangjie Xia
- Guiying Du
- Baole Wen
- Shen Wen (ORCID: https://orcid.org/0000-0001-7321-0293)
- Lihua Chen (ORCID: https://orcid.org/0000-0001-7249-2014)
- Yujun Lu (ORCID: https://orcid.org/0000-0001-8288-1195)
- Qian Liu (ORCID: https://orcid.org/0000-0001-5341-1290)
Institutions
- Nankai University (CN)
- Tianjin First Center Hospital (CN)
- TEDA International Cardiovascular Hospital (CN)
- Tianjin Nankai Hospital (CN)
- Tianjin Medical University (CN)
Publication Details
- Journal
- International Urology and Nephrology
- Published
- 2024-12-13
- DOI
- https://doi.org/10.1007/s11255-024-04300-5
- Citations
- 4
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.62
Funders
- National Natural Science Foundation of China