A feasibility study of deep learning prediction model for VMAT patient-specific QA
This DL-based approach showcases significant potential in enhancing the efficiency and accuracy of VMAT patient-specific QA. This approach promises to be a useful tool for reducing the workload of patient-specific quality assurance.
Authors
- Yuan Xu (ORCID: https://orcid.org/0000-0002-2603-0721)
- Junjie Miao (ORCID: https://orcid.org/0000-0002-1630-2703)
- Jianrong Dai
- Kuo Men (ORCID: https://orcid.org/0000-0001-9754-2241)
Institutions
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2025-03-26
- DOI
- https://doi.org/10.3389/fonc.2025.1509449
- Citations
- 4
- Primary Topic
- Advanced Radiotherapy Techniques
- Type
- article
- Field-Weighted Citation Impact
- 7.53