Rupture risk prediction of cerebral aneurysms using a novel convolutional neural network-based deep learning model.

Journal: Journal of neurointerventional surgery
Published Date: Feb 9, 2022

Abstract

BACKGROUND: Cerebral aneurysms should be treated before rupture because ruptured aneurysms result in serious disability. Therefore, accurate prediction of rupture risk is important and has been estimated using various hemodynamic factors.

Authors

  • Hyeondong Yang
    Department of Mechanical Engineering and BK21 FOUR ERICA-ACE Center, Hanyang University, Ansan, Gyeonggi-do, Korea.
  • Kwang-Chun Cho
    Department of Neurosurgery, College of Medicine, Yonsei University, Yongin Severance Hospital, Yongin, Korea.
  • Jung-Jae Kim
  • Jae Ho Kim
    Department of Electronics Engineering, Pusan National University, Busan, Republic of Korea.
  • Yong Bae Kim
    Department of Radiation Oncology, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, South Korea.
  • Je Hoon Oh
    Department of Mechanical Engineering and BK21 FOUR ERICA-ACE Center, Hanyang University, Ansan, Gyeonggi-do, Korea jehoon@hanyang.ac.kr ybkim69@yuhs.ac.

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