Deep learning radiomics based on ultrasound images for the assisted diagnosis of chronic kidney disease
Our deep learning radiomics model is more effective than senior physicians in the diagnosis of early CKD.
Authors
- Yong-Hong Yu
- Xiaoqian Yan (ORCID: https://orcid.org/0000-0002-4211-6031)
- Kangjian Shi
- Shuyuan Tian (ORCID: https://orcid.org/0000-0001-5148-3733)
- Guoliang Shao (ORCID: https://orcid.org/0000-0002-5759-8854)
- Yunwen Jiang
- Huachun Song
- Yuting Wang (ORCID: https://orcid.org/0009-0000-6985-3114)
- Yu Zhong (ORCID: https://orcid.org/0000-0001-5728-871X)
Institutions
- Zhejiang Chinese Medical University (CN)
- Tongde Hospital of Zhejiang Province (CN)
- Zhejiang Cancer Hospital (CN)
- Zhejiang University of Technology (CN)
Publication Details
- Journal
- Nephrology
- Published
- 2024-08-12
- DOI
- https://doi.org/10.1111/nep.14376
- Citations
- 6
- Primary Topic
- MRI in cancer diagnosis
- Type
- article
- Field-Weighted Citation Impact
- 2.43
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Zhejiang Province