A non-invasive, automated diagnosis of Menière’s disease using radiomics and machine learning on conventional magnetic resonance imaging: A multicentric, case-controlled feasibility study

PURPOSE: This study investigated the feasibility of a new image analysis technique (radiomics) on conventional MRI for the computer-aided diagnosis of Menière’s disease. MATERIALS AND METHODS: A retrospective, multicentric diagnostic case–control study was performed. This study included 120 patients...

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Detalles Bibliográficos
Autores principales: van der Lubbe, Marly F. J. A., Vaidyanathan, Akshayaa, de Wit, Marjolein, van den Burg, Elske L., Postma, Alida A., Bruintjes, Tjasse D., Bilderbeek-Beckers, Monique A. L., Dammeijer, Patrick F. M., Bossche, Stephanie Vanden, Van Rompaey, Vincent, Lambin, Philippe, van Hoof, Marc, van de Berg, Raymond
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Milan 2021
Materias:
Magnetic Resonance Imaging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8795017/
https://www.ncbi.nlm.nih.gov/pubmed/34822101
http://dx.doi.org/10.1007/s11547-021-01425-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8795017/
https://www.ncbi.nlm.nih.gov/pubmed/34822101
http://dx.doi.org/10.1007/s11547-021-01425-w

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