Investigation of an efficient multi-modal convolutional neural network for multiple sclerosis lesion detection

In this study, an automated 2D machine learning approach for fast and precise segmentation of MS lesions from multi-modal magnetic resonance images (mmMRI) is presented. The method is based on an U-Net like convolutional neural network (CNN) for automated 2D slice-based-segmentation of brain MRI vol...

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Detalles Bibliográficos
Autores principales: Raab, Florian, Malloni, Wilhelm, Wein, Simon, Greenlee, Mark W., Lang, Elmar W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10689724/
https://www.ncbi.nlm.nih.gov/pubmed/38036638
http://dx.doi.org/10.1038/s41598-023-48578-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10689724/
https://www.ncbi.nlm.nih.gov/pubmed/38036638
http://dx.doi.org/10.1038/s41598-023-48578-4

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