Fast estimation of patient‐specific organ doses from abdomen and head CT examinations without segmenting internal organs using machine learning models
The SVR models efficiently predicted patient-specific organ doses from CT scans, offering a user-friendly tool for rapid segmentation-free dose prediction. This innovation can significantly enhance clinical efficiency and accessibility in predicting patient-specific organ doses using CT.
Authors
- Haikuan Liu (ORCID: https://orcid.org/0000-0002-2781-2637)
- Weihai Zhuo (ORCID: https://orcid.org/0000-0002-4913-8057)
- Liangyong Qu (ORCID: https://orcid.org/0000-0002-1541-691X)
- Xin Lin (ORCID: https://orcid.org/0000-0002-0605-6430)
- Wencheng Shao (ORCID: https://orcid.org/0000-0002-9109-5361)
- Ying Huang (ORCID: https://orcid.org/0000-0002-5386-2670)
Institutions
- Fudan University (CN)
- Zhongshan Hospital (CN)
- Institute of Modern Physics (CN)
Publication Details
- Journal
- Precision Radiation Oncology
- Published
- 2025-05-29
- DOI
- https://doi.org/10.1002/pro6.70016
- Primary Topic
- Advanced X-ray and CT Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China