Diagnostic performance of MRI-based radiomics models using machine learning approaches for the triple classification of parotid tumors
The T2WI-based radiomics models through LR, SVM and KNN demonstrated good performance in the triple classification of parotid tumors.
Authors
- Quan Zhou (ORCID: https://orcid.org/0000-0002-8358-7577)
- Junjie Guo (ORCID: https://orcid.org/0000-0002-3414-3734)
- Jiajun Feng (ORCID: https://orcid.org/0009-0005-0394-3340)
- Zhenbin Hu (ORCID: https://orcid.org/0000-0003-4993-2661)
- Xianqing Li (ORCID: https://orcid.org/0000-0001-9107-8767)
- Xu Honggang
- Yuqian Huang
Institutions
- Third Affiliated Hospital of Southern Medical University (CN)
- Third Affiliated Hospital of Guangzhou Medical University (CN)
- Guangzhou First People's Hospital (CN)
- Southern Medical University (CN)
- Guangzhou Medical University (CN)
Publication Details
- Journal
- Heliyon
- Published
- 2024-08-23
- DOI
- https://doi.org/10.1016/j.heliyon.2024.e36601
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.40