A methodological approach for deep learning to distinguish between meningiomas and gliomas on canine MR-images

A methodological approach for deep learning to distinguish between meningiomas and gliomas on canine MR-images

Abstract Background Distinguishing between meningeal-based and intra-axial lesions by means of magnetic resonance (MR) imaging findings may occasionally be challenging. Meningiomas and gliomas account for most of the total primary brain neoplasms in dogs, and differentiating between these two forms...

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Bibliographic Details
Main Authors: Tommaso Banzato, Marco Bernardini, Giunio B. Cherubini, Alessandro Zotti
Format: Article
Language:English
Published: BMC 2018-10-01
Series:BMC Veterinary Research
Subjects:
Convolutional neural network
Meningioma
Glioma
Magnetic resonance imaging
Histopathology
Online Access:http://link.springer.com/article/10.1186/s12917-018-1638-2

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http://link.springer.com/article/10.1186/s12917-018-1638-2

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