Unsupervised Domain Adaptation With Optimal Transport in Multi-Site Segmentation of Multiple Sclerosis Lesions From MRI Data

Automatic segmentation of Multiple Sclerosis (MS) lesions from Magnetic Resonance Imaging (MRI) images is essential for clinical assessment and treatment planning of MS. Recent years have seen an increasing use of Convolutional Neural Networks (CNNs) for this task. Although these methods provide acc...

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Detalles Bibliográficos
Autores principales: Ackaouy, Antoine, Courty, Nicolas, Vallée, Emmanuel, Commowick, Olivier, Barillot, Christian, Galassi, Francesca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7075308/
https://www.ncbi.nlm.nih.gov/pubmed/32210780
http://dx.doi.org/10.3389/fncom.2020.00019

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7075308/
https://www.ncbi.nlm.nih.gov/pubmed/32210780
http://dx.doi.org/10.3389/fncom.2020.00019

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