Convolutional Neural Networks to Detect Vestibular Schwannomas on Single MRI Slices: A Feasibility Study

SIMPLE SUMMARY: Due to the fact that they take inter-slice information into account, 3D- and 2.5D-convolutional neural networks (CNNs) potentially perform better in tumor detection tasks than 2D-CNNs. However, this potential benefit is at the expense of increased computational power and the need for...

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Detalles Bibliográficos
Autores principales: Koechli, Carole, Vu, Erwin, Sager, Philipp, Näf, Lukas, Fischer, Tim, Putora, Paul M., Ehret, Felix, Fürweger, Christoph, Schröder, Christina, Förster, Robert, Zwahlen, Daniel R., Muacevic, Alexander, Windisch, Paul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9104481/
https://www.ncbi.nlm.nih.gov/pubmed/35565199
http://dx.doi.org/10.3390/cancers14092069

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9104481/
https://www.ncbi.nlm.nih.gov/pubmed/35565199
http://dx.doi.org/10.3390/cancers14092069

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