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

BACKGROUND: In-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...

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Detalles Bibliográficos
Autores principales: Ahmadi, Seyed-Ahmad, Frei, Johann, Vivar, Gerome, Dieterich, Marianne, Kirsch, Valerie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neurology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9130477/
https://www.ncbi.nlm.nih.gov/pubmed/35645963
http://dx.doi.org/10.3389/fneur.2022.663200

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9130477/
https://www.ncbi.nlm.nih.gov/pubmed/35645963
http://dx.doi.org/10.3389/fneur.2022.663200

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