IE-Vnet: Deep Learning-Based Segmentation of the Inner Ear's Total Fluid Space

IE-Vnet: Deep Learning-Based Segmentation of the Inner Ear's Total Fluid Space

BackgroundIn-vivo MR-based high-resolution volumetric quantification methods of the endolymphatic hydrops (ELH) are highly dependent on a reliable segmentation of the inner ear's total fluid space (TFS). This study aimed to develop a novel open-source inner ear TFS segmentation approach using a...

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Bibliographic Details
Main Authors: Seyed-Ahmad Ahmadi, Johann Frei, Gerome Vivar, Marianne Dieterich, Valerie Kirsch
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-05-01
Series:Frontiers in Neurology
Subjects:
MRI
deep learning
endolymphatic hydros
endolymphatic and perilymphatic space
convolutional neural network CNN
VNet
Online Access:https://www.frontiersin.org/articles/10.3389/fneur.2022.663200/full

Internet

https://www.frontiersin.org/articles/10.3389/fneur.2022.663200/full

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