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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Bibliografiske detaljer
Udgivet i:Front Comput Neurosci
Main Authors: Ackaouy, Antoine, Courty, Nicolas, Vallée, Emmanuel, Commowick, Olivier, Barillot, Christian, Galassi, Francesca
Format: Artigo
Sprog:Inglês
Udgivet: Frontiers Media S.A. 2020
Fag:
Neuroscience
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC7075308/
https://ncbi.nlm.nih.gov/pubmed/32210780
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fncom.2020.00019
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