Machine Learning based Radiomics from Multi-parametric Magnetic Resonance Imaging for Predicting Lymph Node Metastasis in Cervical Cancer
Machine learning-based multi-parametric MRI radiomic analysis demonstrated promising performance in the preoperative prediction of LN metastasis and clinical prognosis in cervical cancer.
Authors
- Qin Xu (ORCID: https://orcid.org/0000-0002-3689-0266)
- Lele Zang (ORCID: https://orcid.org/0000-0002-4151-3182)
- Meijia Zhu (ORCID: https://orcid.org/0009-0000-5829-9437)
- Huiqi Zhang (ORCID: https://orcid.org/0009-0003-9444-4090)
- Jing Liu (ORCID: https://orcid.org/0009-0001-5132-7236)
- Lan Luo (ORCID: https://orcid.org/0009-0006-9737-427X)
- Li Li (ORCID: https://orcid.org/0009-0003-4108-4642)
- Fei Zhu (ORCID: https://orcid.org/0009-0008-7386-9125)
Institutions
- Fujian Medical University (CN)
- Fujian Provincial Cancer Hospital (CN)
Publication Details
- Journal
- Current Medical Imaging Formerly Current Medical Imaging Reviews
- Published
- 2025-09-22
- DOI
- https://doi.org/10.2174/0115734056376718250904221020
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00