Prediction of cerebral hemorrhagic transformation after thrombectomy using a deep learning of dual-energy CT.

Abstract

Authors

• JoonNyung Heo
  Department of Neurology, Yonsei University College of Medicine, Seoul, Korea.
• Youngno Yoon
  Department of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.
• Hyun Jin Han
  Department of Neurosurgery, Yonsei University College of Medicine, Seoul, Republic of Korea.
• Jung-Jae Kim
• Keun Young Park
  Department of Neurosurgery, Yonsei University College of Medicine, Seoul, Republic of Korea.
• Byung Moon Kim
  Department of Radiology Yonsei University Medical Center Yonsei University College of Medicine Seoul Republic of Korea.
• Dong Joon Kim
  Department of Internal Medicine, Hallym University College of Medicine, Chuncheon, Korea.
• Young Dae Kim
  From the Department of Neurology (J.H., H.P., Y.D.K., H.S.N., J.H.H.), Yonsei University College of Medicine, Seoul, Korea.
• Hyo Suk Nam
  Department of Neurology, Yonsei University College of Medicine, Seoul, Republic Of Korea.
• Seung-Koo Lee
  Department of Radiology and Research Institute of Radiological Science, Yonsei University College of Medicine, 50-1 Yonsei-ro, Seodaemun-gu, Seoul, 120-752, South Korea.
• Beomseok Sohn
  Department of Radiology, Research Institute of Radiological Science and Center for Clinical Image Data Science, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-752, Korea.

Keywords

External Resources