Meningioma Consistency Can Be Defined by Combining the Radiomic Features of Magnetic Resonance Imaging and Ultrasound Elastography. A Pilot Study Using Machine Learning Classifiers-Reference-Cited by-同舟云学术

Meningioma Consistency Can Be Defined by Combining the Radiomic Features of Magnetic Resonance Imaging and Ultrasound Elastography. A Pilot Study Using Machine Learning Classifiers

Published:2021-02 Issue: Volume:146 Page:e1147-e1159
ISSN:1878-8750
Container-title:World Neurosurgery
language:en
Short-container-title:World Neurosurgery

Author:

Cepeda Santiago^ORCID,Arrese Ignacio,García-García Sergio,Velasco-Casares María,Escudero-Caro Trinidad,Zamora Tomás,Sarabia Rosario

Funder

Radiology Department of Río Hortega Hospital

Publisher

Elsevier BV

Subject

Clinical Neurology,Surgery

Reference46 articles.

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4. EANO guidelines for the diagnosis and treatment of meningiomas;Goldbrunner;Lancet Oncol,2016

5. Comparison of consistency of meningiomas and CT appearances;Kendall;Neuroradiology,1979

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