3D U-Net for automated detection of multiple sclerosis lesions: utility of transfer learning from other pathologies

BACKGROUND AND PURPOSE: Deep learning algorithms for segmentation of multiple sclerosis (MS) plaques generally require training on large datasets. This manuscript evaluates the effect of transfer learning from segmentation of another pathology to facilitate use of smaller MS-specific training datase...

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Detalles Bibliográficos
Autores principales: Wahlig, Stephen G., Nedelec, Pierre, Weiss, David A., Rudie, Jeffrey D., Sugrue, Leo P., Rauschecker, Andreas M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10641790/
https://www.ncbi.nlm.nih.gov/pubmed/37965219
http://dx.doi.org/10.3389/fnins.2023.1188336

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10641790/
https://www.ncbi.nlm.nih.gov/pubmed/37965219
http://dx.doi.org/10.3389/fnins.2023.1188336

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