Improving 3D dose prediction for breast radiotherapy using novel glowing masks and gradient‐weighted loss functions

The quality of treatment plans for breast cancer can vary greatly. This variation could be reduced by using dose prediction to automate treatment planning. Our work investigates novel methods for training deep-learning models that are capable of producing high-quality dose predictions for breast cancer treatment planning.