A Deep Learning Radiomics Model Based on Superb Microvascular Imaging forNon-Invasive Prediction of the Degree of Arteriolosclerosis in Patients WithChronic Kidney Disease
The DLR model utilizing SMI imaging can precisely and non-invasively assess the severity of arteriolosclerosis in CKD patients, which can assist physicians in formulating more favorable treatment plans for patients.
Authors
- Yanhua Li (ORCID: https://orcid.org/0000-0002-9341-7862)
- Xiaoling Liu (ORCID: https://orcid.org/0009-0000-3860-975X)
- Xiachuan Qin
Institutions
- Anhui Medical University (CN)
- Chengdu Second People's Hospital (CN)
- First Affiliated Hospital of Anhui Medical University (CN)
- Nanchong Central Hospital (CN)
Publication Details
- Journal
- Current Medical Imaging Formerly Current Medical Imaging Reviews
- Published
- 2025-11-29
- DOI
- https://doi.org/10.2174/0115734056412035251027064309
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00