Fully automated intracranial aneurysm detection and segmentation from digital subtraction angiography series using an end-to-end spatiotemporal deep neural network.

Abstract

Authors

• Hailan Jin
  Department of R&D, UnionStrong (Beijing) Technology Co.Ltd, Beijing, China.
• Jiewen Geng
  China International Neuroscience Institute (China-INI), Beijing, China.
• Yin Yin
  Department of R&D, UnionStrong (Beijing) Technology Co.Ltd, Beijing, China.
• Minghui Hu
  Department of R&D, UnionStrong (Beijing) Technology Co.Ltd, Beijing, China.
• Guangming Yang
  Department of R&D, UnionStrong (Beijing) Technology Co.Ltd, Beijing, China.
• Sishi Xiang
  China International Neuroscience Institute (China-INI), Beijing, China.
• Xiaodong Zhai
  China International Neuroscience Institute (China-INI), Beijing, China.
• Zhe Ji
  China International Neuroscience Institute (China-INI), Beijing, China.
• Xinxin Fan
  Department of Neurosurgery, Xi'an NO.3 Hospital, the Affiliated Hospital of Northwest University, Xi'an, Shanxi Province, China.
• Peng Hu
  The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
• Chuan He
  School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300350, PR China.
• Lan Qin
  Department of R&D, UnionStrong (Beijing) Technology Co.Ltd, Beijing, China xwzhanghq@163.com qinlan@unionstrongtech.com.
• Hongqi Zhang
  China International Neuroscience Institute (China-INI), Beijing, China xwzhanghq@163.com qinlan@unionstrongtech.com.

Keywords

External Resources