Ph.D. student Yulei Qin's paper "Pulmonary nodule segmentation with CT sample synthesis using adversarial networks" (by Yulei Qin, Hao Zheng, Xiaolin Huang, Jie Yang, and Yue-Min Zhu) was accepted by Medical Physics, an important journal in the field of medical image. 

      In this paper, a pulmonary nodule segmentation model based on multi-channel feature input and residual learning is proposed, and various CT samples of nodules are generated based on the confrontation network to participate in the task training, so as to improve the accuracy of nodule segmentation.