Prostate dose prediction in HDR Brachytherapy using unsupervised multi-atlas fusion

In this study, we propose a new deep learning-based method to predict radiation dose for prostate cancer patients undergoing high-dose-rate (HDR) brachytherapy. The proposed framework consists of three major steps, which are deformable registration via registration network (Reg-Net), consolidation and needle regression. To model the global spatial relationship among multiple organs, binary masks of the target and organs at risk were transformed...