A deep learning framework for intracranial aneurysms automatic segmentation and detection on magnetic resonance T1 images.

Abstract

Authors

• Junda Qu
  School of Biomedical Engineering, Capital Medical University, Beijing, China.
• Hao Niu
  School of Optical and Electronic Information and Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan 430074, China.
• Yutang Li
  School of Biomedical Engineering, Capital Medical University, Beijing, China.
• Ting Chen
  CAS Key Laboratory of Tropical Marine Bio-resources and Ecology (LMB), Guangdong Provincial Key Laboratory of Applied Marine Biology (LAMB), South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China. chan1010@scsio.ac.cn.
• Fei Peng
  College of Food Science and Engineering, Northwest A&F University, Yangling 712100, China.
• Jiaxiang Xia
  Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
• Xiaoxin He
  Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
• Boya Xu
  Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
• Xuge Chen
  Beijing Neurosurgical Institute, Capital Medical University, Beijing, China.
• Rui Li
  Department of Oncology, Xiyuan Hospital, China Academy of Chinese Medical Science, Beijing, China.
• Aihua Liu
  McGill University Health Centre, McGill Adult Unit for Congenital Heart Disease Excellence, Montreal, Québec, Canada.
• Xu Zhang
  China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
• Chunlin Li
  School of Biomedical Engineering, Capital Medical University, Beijing, China. lichunlin1981@163.com.

Keywords

External Resources