Fully automated detection and segmentation of meningiomas using deep learning on routine multiparametric MRI
Author:
Publisher
Springer Science and Business Media LLC
Subject
Radiology Nuclear Medicine and imaging,General Medicine
Link
http://link.springer.com/article/10.1007/s00330-018-5595-8/fulltext.html
Reference44 articles.
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3. Schob S, Frydrychowicz C, Gawlitza M et al (2016) Signal intensities in preoperative MRI do not reflect proliferative activity in meningioma. Transl Oncol 9:274–279
4. Vernooij MW, Ikram MA, Tanghe HL et al (2007) Incidental findings on brain MRI in the general population. N Engl J Med 357:1821–1828
5. Goldbrunner R, Minniti G, Preusser M et al (2016) EANO guidelines for the diagnosis and treatment of meningiomas. Lancet Oncol 17:e383–e391
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