Automated plan generation for prostate radiotherapy patients using deep learning and scripted optimization
An automatic plan generation workflow that uses a DL model with scripted optimization was fully deployed in a commercial TPS. Autoplans were compared to previously treated clinical plans and were found to be non-inferior.
Authors
- Cody Church (ORCID: https://orcid.org/0009-0006-0587-0496)
- D Granville (ORCID: https://orcid.org/0000-0003-4134-0776)
- Mohamed Bessrour
- Michelle Yap
- M Lamey
Institutions
- Dalhousie University (CA)
- Ottawa Hospital (CA)
Publication Details
- Journal
- Physics and Imaging in Radiation Oncology
- Published
- 2024-09-08
- DOI
- https://doi.org/10.1016/j.phro.2024.100641
- Citations
- 6
- Primary Topic
- Explainable Artificial Intelligence (XAI)
- Type
- article
- Field-Weighted Citation Impact
- 2.08