Machine Learning-Based Objective Evaluation Model of CTPA Image Quality: A Multi-Center Study
This study successfully developed an interpretable machine learning-based model for the objective assessment of CTPA image quality. The model offers effective support for improving image quality control efficiency and precision. However, the limited sample size may affect the model's generalizability, so it's essential to conduct further research with larger datasets.
Authors
- Zhongxiao Liu (ORCID: https://orcid.org/0000-0002-0156-6482)
- Chunlei Shi (ORCID: https://orcid.org/0000-0002-5847-7122)
- Qihang Sun (ORCID: https://orcid.org/0000-0001-7711-9374)
- Cunjie Sun
- Tao Ding (ORCID: https://orcid.org/0000-0001-8275-9907)
- Nailong Hou
Institutions
- Xuzhou Medical College (CN)
Publication Details
- Journal
- International Journal of General Medicine
- Published
- 2025-02-01
- DOI
- https://doi.org/10.2147/ijgm.s510784
- Citations
- 1
- Primary Topic
- Venous Thromboembolism Diagnosis and Management
- Type
- article
- Field-Weighted Citation Impact
- 1.87