University of Chinese Academy of Sciences, Chengdu Institute of Computer Application, Chinese Academy of Sciences, High Performance Computing Application RD Center, Chongqing Institute of Green and Intelligent, Chongqing, China;
University of Chinese Academy of Sciences, Chengdu Institute of Computer Application, Chinese Academy of Sciences, High Performance Computing Application RD Center, Chongqing Institute of Green and Intelligent, Chongqing, China;
Information Department, Southwest Hospital, Chongqing, China;
Information Department, Southwest Hospital, Chongqing, China;
University of Chinese Academy of Sciences, Chengdu Institute of Computer Application, Chinese Academy of Sciences, High Performance Computing Application RD Center, Chongqing Institute of Green and Intelligent Chongqing, China;
Surgery; Generators; Gallium nitride; Training; Hospitals; Biomedical imaging; Laparoscopes;
机译:基于改进的深度卷积生成对策网络的虚拟生成路面裂缝图像
机译:基于生成对抗网络的页岩数字核心图像生成
机译:使用基于粒子群优化的生成对抗网络的高质量脸部图像生成
机译:基于生成的对冲网络的外科工作流图像生成
机译:用于使用实时图像检测的生成对抗网络数据在侧扫声明图像中使用
机译:基于深度生成对抗网络的表示攻击面图像生成
机译:基于事件的高动态范围图像和使用条件生成对冲网络的非常高的帧速率视频生成