Deep learning method for prediction of patient-specific dose distribution in breast cancer.
Journal:
Radiation oncology (London, England)
Published Date:
Aug 17, 2021
Abstract
BACKGROUND: Patient-specific dose prediction improves the efficiency and quality of radiation treatment planning and reduces the time required to find the optimal plan. In this study, a patient-specific dose prediction model was developed for a left-sided breast clinical case using deep learning, and its performance was compared with that of conventional knowledge-based planning using RapidPlan™.