A deep learning algorithm may automate intracranial aneurysm detection on MR angiography with high diagnostic performance
Author:
Publisher
Springer Science and Business Media LLC
Subject
Radiology, Nuclear Medicine and imaging,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s00330-020-06966-8.pdf
Reference24 articles.
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3. Juvela S, Korja M (2017) Intracranial aneurysm parameters for predicting a future subarachnoid hemorrhage: a long-term follow-up study. Neurosurgery 81:432–440
4. Steiner T, Juvela S, Unterberg A, Jung C, Forsting M, Rinkel G (2013) European Stroke Organization guidelines for the management of intracranial aneurysms and subarachnoid haemorrhage. Cerebrovasc Dis 35:93–112
5. UCAS Japan Investigators, Morita A, Kirino T, et al (2012) The natural course of unruptured cerebral aneurysms in a Japanese cohort. N Engl J Med 366:2474–2482
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