A feasibility study on an automated method to generate patient‐specific dose distributions for radiotherapy using deep learning

Abstract

The proposed system with radiation geometry added to the input is a promising method to generate patient-specific dose distributions for radiotherapy. It can be applied to obtain the dose distributions slice-by-slice for planning quality assurance and for guiding automated planning.