Convolutional Neural Networks for the Detection and Measurement of Cerebral Aneurysms on Magnetic Resonance Angiography
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology
Link
http://link.springer.com/content/pdf/10.1007/s10278-018-0162-z.pdf
Reference26 articles.
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2. Cebral JR, Raschi M: Suggested connections between risk factors of intracranial aneurysms: a review. Ann Biomed Eng 41:1366–1383, 2013. https://doi.org/10.1007/s10439-012-0723-0
3. Brown, Jr RD, Broderick JP: Unruptured intracranial aneurysms: epidemiology, natural history, management options, and familial screening. Lancet Neurol 13:393–404, 2014. https://doi.org/10.1016/S1474-4422(14)70015-8
4. Ghosh S et al.: Association of morphologic and demographic features of intracranial aneurysms with their rupture: a retrospective analysis. Acta Neurochir Suppl 115:275–278, 2013. https://doi.org/10.1007/978-3-7091-1192-5_48
5. International Study of Unruptured Intracranial Aneurysms, I. Unruptured intracranial aneurysms--risk of rupture and risks of surgical intervention. N Engl J Med 339:1725–1733, 1998. https://doi.org/10.1056/NEJM199812103392401
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