中心(范畴论)
帧(网络)
比例(比率)
计算机科学
生成语法
开发(拓扑)
人工智能
计算机视觉
数学
地图学
地理
电信
化学
结晶学
数学分析
作者
Huangxuan Zhao,Ziyang Xu,Lei Chen,Linxia Wu,Ziwei Cui,Jinqiang Ma,Tao Sun,Yu Lei,Nan Wang,Hongyao Hu,Yiqing Tan,Wei Lu,Wenzhong Yang,Kaibing Liao,Gaojun Teng,Xiaoyun Liang,Li Yi,Congcong Feng,Tong Nie,Xiaoyu Han
出处
期刊:Med
[Elsevier BV]
日期:2024-08-01
被引量:1
标识
DOI:10.1016/j.medj.2024.07.025
摘要
Digital subtraction angiography (DSA) devices are commonly used in numerous interventional procedures across various parts of the body, necessitating multiple scans per procedure, which results in significant radiation exposure for both doctors and patients. Inspired by generative artificial intelligence techniques, this study proposes GenDSA, a large-scale pretrained multi-frame generative model-based real-time and low-dose DSA imaging system.
科研通智能强力驱动
Strongly Powered by AbleSci AI