Automatic plan selection using deep network—A prostate study
The developed approach is flexible since it allows the modification or addition of criteria to obtain different trade-offs in plan quality, per the institution standard. The approach is fast and robust while adding negligible time to MCO planning. These results demonstrate potential for clinical use.
Authors
- Philippe Y. Chatigny
- Cédric Bélanger (ORCID: https://orcid.org/0000-0002-0142-9277)
- Éric Poulin
- Luc Beaulieu (ORCID: https://orcid.org/0000-0003-0429-6366)
Institutions
- Université Laval (CA)
Publication Details
- Journal
- Medical Physics
- Published
- 2024-12-10
- DOI
- https://doi.org/10.1002/mp.17550
- Citations
- 1
- Primary Topic
- Image and Object Detection Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.25
Funders
- Natural Sciences and Engineering Research Council of Canada