Actor critic with experience replay‐based automatic treatment planning for prostate cancer intensity modulated radiotherapy
We successfully trained a DRL agent using the ACER technique for high-quality treatment planning in prostate cancer IMRT. It achieves high generality across diverse patient datasets and exhibits high robustness against adversarial attacks.
Authors
- Damon Sprouts
- Mohammed Burhan Abrar (ORCID: https://orcid.org/0009-0005-1513-2326)
- Yujie Chi (ORCID: https://orcid.org/0000-0002-1828-3251)
- Xun Jia (ORCID: https://orcid.org/0000-0001-6159-2909)
- Parvat Sapkota
Institutions
- Johns Hopkins University (US)
- The University of Texas at Arlington (US)
Publication Details
- Journal
- Medical Physics
- Published
- 2025-05-31
- DOI
- https://doi.org/10.1002/mp.17915
- Citations
- 4
- Primary Topic
- Adversarial Robustness in Machine Learning
- Type
- article
- Field-Weighted Citation Impact
- 9.92
Funders
- National Cancer Institute