Survival analysis of clear cell renal cell carcinoma based on radiomics and deep learning features from CT images
The proposed fusion nomogram provided a noninvasive and easy-to-use model for survival prognosis of ccRCC patients in future clinical use, without the requirement to perform a detailed segmentation for radiologists.
Authors
- Meng Zhou
- Xiaobo Zhou (ORCID: https://orcid.org/0000-0001-7191-6495)
- Sijia Wu (ORCID: https://orcid.org/0000-0002-2863-6065)
- Yan Yu (ORCID: https://orcid.org/0000-0003-0515-7747)
- Liyu Huang (ORCID: https://orcid.org/0000-0001-6534-2712)
- Tao Wang (ORCID: https://orcid.org/0000-0002-7370-7299)
- Dan Ni (ORCID: https://orcid.org/0000-0002-8893-0282)
- Zhennan Lu
Institutions
- Nanjing University of Chinese Medicine (CN)
- Xidian University (CN)
- Shaanxi Provincial People's Hospital (CN)
- Nanjing Drum Tower Hospital (CN)
- Jiangsu Province Hospital (CN)
Publication Details
- Journal
- Medicine
- Published
- 2024-12-20
- DOI
- https://doi.org/10.1097/md.0000000000040723
- Citations
- 2
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.81
Funders
- Xuzhou Medical University