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PDFIschemic stroke
Original research
New morphological parameter for intracranial aneurysms and rupture risk prediction based on artificial neural networks
- Correspondence to Professor Je Hoon Oh, Department of Mechanical Engineering and BK21 FOUR ERICA-ACE Center, Hanyang University, 55 Hanyangdaehak-ro, Sangnok-gu, Ansan, Gyeonggi-do 15588, Korea; jehoon{at}hanyang.ac.kr; Professor Yong Bae Kim, Department of Neurosurgery, College of Medicine, Yonsei University, Severance Hospital, 50-1 Yonsei-ro, Seodaemum-gu, Seoul 03722, Korea; ybkim69{at}yuhs.ac
Citation
New morphological parameter for intracranial aneurysms and rupture risk prediction based on artificial neural networks
Publication history
- Received May 26, 2022
- Accepted August 29, 2022
- First published September 26, 2022.
Online issue publication
November 02, 2023
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© Author(s) (or their employer(s)) 2023. No commercial re-use. See rights and permissions. Published by BMJ.