MR-only radiotherapy planning can reduce the radiation exposure from repeated CT scanning. Most researches focus on generating synthetic CT images from MR, but not the contouring of organs-of-interest in said images, which requires manual labor and expertise. In this study, we proposed CycleSeg, a CycleGAN-based network that can accomplish both tasks to streamline the process and reduce human efforts. Experiments showed that the proposed CycleSeg can generate realistic synthetic CT images along with accurate organ segmentation in the pelvis of patients with prostate cancer.
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