A feasibility study on deep learning‐based individualized 3D dose distribution prediction
A feasibility study on deep learning‐based individualized 3D dose distribution prediction
Purpose: Radiation therapy treatment planning is a trial-and-error, often time-consuming process. An optimal dose distribution based on a specific anatomy can be predicted by pre-trained deep learning (DL) models. However, dose distributions are often optimized based on not only patient-specific anatomy but also physician preferred trade-offs between planning target volume …