Impact of CT acquisition settings on the stability of radiomic features and the performance of pulmonary nodule classification models
How do CT settings affect radiomic feature stability and model performance? Feature stability varies with CT parameters, but stable features enhance model generalizability. Stable feature models boost diagnostic reliability and clinical applicability.
Authors
- Liting Shi (ORCID: https://orcid.org/0000-0002-7771-2001)
- YuWei Li
- Lin Cai (ORCID: https://orcid.org/0000-0003-3146-2251)
- Chaokang Han
- Shiyang Huang
- Lei Shi
- Jinyi Jiang
- Qian Zhou
- Yue Yu
Institutions
- Zhejiang Chinese Medical University (CN)
- Wenzhou Medical University (CN)
- Zhejiang Cancer Hospital (CN)
- Hangzhou Cancer Hospital (CN)
Publication Details
- Journal
- Insights into Imaging
- Published
- 2026-01-05
- DOI
- https://doi.org/10.1186/s13244-025-02179-z
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00